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+{"paper_url": "https://huggingface.co/papers/2309.10020", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants](https://huggingface.co/papers/2310.00653) (2023)\n* [Kosmos-2.5: A Multimodal Literate Model](https://huggingface.co/papers/2309.11419) (2023)\n* [StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data](https://huggingface.co/papers/2308.10253) (2023)\n* [The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)](https://huggingface.co/papers/2309.17421) (2023)\n* [Language as the Medium: Multimodal Video Classification through text only](https://huggingface.co/papers/2309.10783) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.10150", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [BridgeData V2: A Dataset for Robot Learning at Scale](https://huggingface.co/papers/2308.12952) (2023)\n* [Robotic Offline RL from Internet Videos via Value-Function Pre-Training](https://huggingface.co/papers/2309.13041) (2023)\n* [Multi-Objective Decision Transformers for Offline Reinforcement Learning](https://huggingface.co/papers/2308.16379) (2023)\n* [Reasoning with Latent Diffusion in Offline Reinforcement Learning](https://huggingface.co/papers/2309.06599) (2023)\n* [Conservative World Models](https://huggingface.co/papers/2309.15178) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.10202", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Aligning Language Models with Offline Reinforcement Learning from Human Feedback](https://huggingface.co/papers/2308.12050) (2023)\n* [RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback](https://huggingface.co/papers/2309.00267) (2023)\n* [Efficient RLHF: Reducing the Memory Usage of PPO](https://huggingface.co/papers/2309.00754) (2023)\n* [Qwen Technical Report](https://huggingface.co/papers/2309.16609) (2023)\n* [Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment](https://huggingface.co/papers/2310.00212) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2309.10279", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MVDream: Multi-view Diffusion for 3D Generation](https://huggingface.co/papers/2308.16512) (2023)\n* [Guide3D: Create 3D Avatars from Text and Image Guidance](https://huggingface.co/papers/2308.09705) (2023)\n* [Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views](https://huggingface.co/papers/2308.14078) (2023)\n* [TeCH: Text-guided Reconstruction of Lifelike Clothed Humans](https://huggingface.co/papers/2308.08545) (2023)\n* [3D Reconstruction with Generalizable Neural Fields using Scene Priors](https://huggingface.co/papers/2309.15164) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.10305", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Qwen Technical Report](https://huggingface.co/papers/2309.16609) (2023)\n* [OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch](https://huggingface.co/papers/2309.10706) (2023)\n* [Efficient Finetuning Large Language Models For Vietnamese Chatbot](https://huggingface.co/papers/2309.04646) (2023)\n* [MedChatZH: a Better Medical Adviser Learns from Better Instructions](https://huggingface.co/papers/2309.01114) (2023)\n* [Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models](https://huggingface.co/papers/2308.14149) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.10537", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models](https://huggingface.co/papers/2308.09300) (2023)\n* [Enhance audio generation controllability through representation similarity regularization](https://huggingface.co/papers/2309.08773) (2023)\n* [Exploring Domain-Specific Enhancements for a Neural Foley Synthesizer](https://huggingface.co/papers/2309.04641) (2023)\n* [Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation](https://huggingface.co/papers/2309.10740) (2023)\n* [Training Audio Captioning Models without Audio](https://huggingface.co/papers/2309.07372) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.10668", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Approximating Human-Like Few-shot Learning with GPT-based Compression](https://huggingface.co/papers/2308.06942) (2023)\n* [MEMORY-VQ: Compression for Tractable Internet-Scale Memory](https://huggingface.co/papers/2308.14903) (2023)\n* [Headless Language Models: Learning without Predicting with Contrastive Weight Tying](https://huggingface.co/papers/2309.08351) (2023)\n* [Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning](https://huggingface.co/papers/2309.08708) (2023)\n* [The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute](https://huggingface.co/papers/2309.11197) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2309.10706.json b/data/2309.10706.json
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+{"paper_url": "https://huggingface.co/papers/2309.10706", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Sequence-to-Sequence Spanish Pre-trained Language Models](https://huggingface.co/papers/2309.11259) (2023)\n* [Towards General Text Embeddings with Multi-stage Contrastive Learning](https://huggingface.co/papers/2308.03281) (2023)\n* [Baichuan 2: Open Large-scale Language Models](https://huggingface.co/papers/2309.10305) (2023)\n* [Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models](https://huggingface.co/papers/2308.14149) (2023)\n* [A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models](https://huggingface.co/papers/2309.11674) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.10818", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages](https://huggingface.co/papers/2309.09400) (2023)\n* [Towards General Text Embeddings with Multi-stage Contrastive Learning](https://huggingface.co/papers/2308.03281) (2023)\n* [OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch](https://huggingface.co/papers/2309.10706) (2023)\n* [Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models](https://huggingface.co/papers/2308.16149) (2023)\n* [XGen-7B Technical Report](https://huggingface.co/papers/2309.03450) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.10917", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [PromptASR for contextualized ASR with controllable style](https://huggingface.co/papers/2309.07414) (2023)\n* [Contextual Biasing of Named-Entities with Large Language Models](https://huggingface.co/papers/2309.00723) (2023)\n* [SLM: Bridge the thin gap between speech and text foundation models](https://huggingface.co/papers/2310.00230) (2023)\n* [Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks](https://huggingface.co/papers/2309.07937) (2023)\n* [HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models](https://huggingface.co/papers/2309.15701) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.10952", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration](https://huggingface.co/papers/2309.01131) (2023)\n* [Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering](https://huggingface.co/papers/2309.14389) (2023)\n* [Vision Grid Transformer for Document Layout Analysis](https://huggingface.co/papers/2308.14978) (2023)\n* [Informed Named Entity Recognition Decoding for Generative Language Models](https://huggingface.co/papers/2308.07791) (2023)\n* [Enhancing Visually-Rich Document Understanding via Layout Structure Modeling](https://huggingface.co/papers/2308.07777) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.11009", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [HAvatar: High-fidelity Head Avatar via Facial Model Conditioned Neural Radiance Field](https://huggingface.co/papers/2309.17128) (2023)\n* [ReliTalk: Relightable Talking Portrait Generation from a Single Video](https://huggingface.co/papers/2309.02434) (2023)\n* [AniPortraitGAN: Animatable 3D Portrait Generation from 2D Image Collections](https://huggingface.co/papers/2309.02186) (2023)\n* [Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis](https://huggingface.co/papers/2309.16859) (2023)\n* [Learning Disentangled Avatars with Hybrid 3D Representations](https://huggingface.co/papers/2309.06441) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.11197", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning](https://huggingface.co/papers/2309.08708) (2023)\n* [Do Generative Large Language Models need billions of parameters?](https://huggingface.co/papers/2309.06589) (2023)\n* [XGen-7B Technical Report](https://huggingface.co/papers/2309.03450) (2023)\n* [Qwen Technical Report](https://huggingface.co/papers/2309.16609) (2023)\n* [RecycleGPT: An Autoregressive Language Model with Recyclable Module](https://huggingface.co/papers/2308.03421) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.11419", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [PUMGPT: A Large Vision-Language Model for Product Understanding](https://huggingface.co/papers/2308.09568) (2023)\n* [Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond](https://huggingface.co/papers/2308.12966) (2023)\n* [Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models](https://huggingface.co/papers/2308.13437) (2023)\n* [SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap](https://huggingface.co/papers/2309.12382) (2023)\n* [UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding](https://huggingface.co/papers/2308.11592) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.11495", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering](https://huggingface.co/papers/2308.13259) (2023)\n* [Cognitive Mirage: A Review of Hallucinations in Large Language Models](https://huggingface.co/papers/2309.06794) (2023)\n* [Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models](https://huggingface.co/papers/2308.11764) (2023)\n* [DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models](https://huggingface.co/papers/2309.03883) (2023)\n* [Contrastive Decoding Improves Reasoning in Large Language Models](https://huggingface.co/papers/2309.09117) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.11497", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency](https://huggingface.co/papers/2308.12605) (2023)\n* [Text-image guided Diffusion Model for generating Deepfake celebrity interactions](https://huggingface.co/papers/2309.14751) (2023)\n* [DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models](https://huggingface.co/papers/2308.06160) (2023)\n* [Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation](https://huggingface.co/papers/2309.15818) (2023)\n* [DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability](https://huggingface.co/papers/2308.09306) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.11499", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Unified Language-Vision Pretraining with Dynamic Discrete Visual Tokenization](https://huggingface.co/papers/2309.04669) (2023)\n* [Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning](https://huggingface.co/papers/2309.02591) (2023)\n* [MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning](https://huggingface.co/papers/2309.07915) (2023)\n* [StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data](https://huggingface.co/papers/2308.10253) (2023)\n* [Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions](https://huggingface.co/papers/2308.04152) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.11500", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Weakly-supervised Automated Audio Captioning via text only training](https://huggingface.co/papers/2309.12242) (2023)\n* [RECAP: Retrieval-Augmented Audio Captioning](https://huggingface.co/papers/2309.09836) (2023)\n* [Training Audio Captioning Models without Audio](https://huggingface.co/papers/2309.07372) (2023)\n* [Synth-AC: Enhancing Audio Captioning with Synthetic Supervision](https://huggingface.co/papers/2309.09705) (2023)\n* [MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response](https://huggingface.co/papers/2309.08730) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.11523", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SG-Former: Self-guided Transformer with Evolving Token Reallocation](https://huggingface.co/papers/2308.12216) (2023)\n* [Dynamic Spectrum Mixer for Visual Recognition](https://huggingface.co/papers/2309.06721) (2023)\n* [DAT++: Spatially Dynamic Vision Transformer with Deformable Attention](https://huggingface.co/papers/2309.01430) (2023)\n* [DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion](https://huggingface.co/papers/2309.12424) (2023)\n* [DiT: Efficient Vision Transformers with Dynamic Token Routing](https://huggingface.co/papers/2308.03409) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.11568", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [XGen-7B Technical Report](https://huggingface.co/papers/2309.03450) (2023)\n* [Code Llama: Open Foundation Models for Code](https://huggingface.co/papers/2308.12950) (2023)\n* [Effective Long-Context Scaling of Foundation Models](https://huggingface.co/papers/2309.16039) (2023)\n* [OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch](https://huggingface.co/papers/2309.10706) (2023)\n* [Baichuan 2: Open Large-scale Language Models](https://huggingface.co/papers/2309.10305) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.11674", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Towards Effective Disambiguation for Machine Translation with Large Language Models](https://huggingface.co/papers/2309.11668) (2023)\n* [Improving Translation Faithfulness of Large Language Models via Augmenting Instructions](https://huggingface.co/papers/2308.12674) (2023)\n* [Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations](https://huggingface.co/papers/2308.14186) (2023)\n* [Extrapolating Large Language Models to Non-English by Aligning Languages](https://huggingface.co/papers/2308.04948) (2023)\n* [Neural Machine Translation Models Can Learn to be Few-shot Learners](https://huggingface.co/papers/2309.08590) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.11998", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Large Language Model as a User Simulator](https://huggingface.co/papers/2308.11534) (2023)\n* [MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback](https://huggingface.co/papers/2309.10691) (2023)\n* [Efficient Finetuning Large Language Models For Vietnamese Chatbot](https://huggingface.co/papers/2309.04646) (2023)\n* [Better Zero-Shot Reasoning with Role-Play Prompting](https://huggingface.co/papers/2308.07702) (2023)\n* [In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning](https://huggingface.co/papers/2308.04275) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.12207", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data](https://huggingface.co/papers/2309.13705) (2023)\n* [LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints](https://huggingface.co/papers/2309.15458) (2023)\n* [Improving Length-Generalization in Transformers via Task Hinting](https://huggingface.co/papers/2310.00726) (2023)\n* [Auto-Regressive Next-Token Predictors are Universal Learners](https://huggingface.co/papers/2309.06979) (2023)\n* [PROSE: Predicting Operators and Symbolic Expressions using Multimodal Transformers](https://huggingface.co/papers/2309.16816) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.12284", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct](https://huggingface.co/papers/2308.09583) (2023)\n* [Forward-Backward Reasoning in Large Language Models for Mathematical Verification](https://huggingface.co/papers/2308.07758) (2023)\n* [MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning](https://huggingface.co/papers/2309.05653) (2023)\n* [Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge Distillation in Small Models for Scientific QA](https://huggingface.co/papers/2308.04679) (2023)\n* [Enhancing Reasoning Capabilities of Large Language Models: A Graph-Based Verification Approach](https://huggingface.co/papers/2308.09267) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.12307", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training](https://huggingface.co/papers/2309.10400) (2023)\n* [LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning](https://huggingface.co/papers/2308.03303) (2023)\n* [Efficient Streaming Language Models with Attention Sinks](https://huggingface.co/papers/2309.17453) (2023)\n* [DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning](https://huggingface.co/papers/2309.05173) (2023)\n* [Scaled Prompt-Tuning for Few-Shot Natural Language Generation](https://huggingface.co/papers/2309.06759) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.12311", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Multi3DRefer: Grounding Text Description to Multiple 3D Objects](https://huggingface.co/papers/2309.05251) (2023)\n* [ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning](https://huggingface.co/papers/2309.16650) (2023)\n* [Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs](https://huggingface.co/papers/2309.15940) (2023)\n* [Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding](https://huggingface.co/papers/2309.04561) (2023)\n* [Dense Object Grounding in 3D Scenes](https://huggingface.co/papers/2309.02224) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.13075", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Forward-Backward Reasoning in Large Language Models for Mathematical Verification](https://huggingface.co/papers/2308.07758) (2023)\n* [Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering](https://huggingface.co/papers/2308.13259) (2023)\n* [Enhancing Reasoning Capabilities of Large Language Models: A Graph-Based Verification Approach](https://huggingface.co/papers/2308.09267) (2023)\n* [LLM Guided Inductive Inference for Solving Compositional Problems](https://huggingface.co/papers/2309.11688) (2023)\n* [Better Zero-Shot Reasoning with Role-Play Prompting](https://huggingface.co/papers/2308.07702) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.13308", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?](https://huggingface.co/papers/2309.07462) (2023)\n* [Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation](https://huggingface.co/papers/2308.03131) (2023)\n* [The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation](https://huggingface.co/papers/2308.07286) (2023)\n* [Text Style Transfer Evaluation Using Large Language Models](https://huggingface.co/papers/2308.13577) (2023)\n* [Less is More for Long Document Summary Evaluation by LLMs](https://huggingface.co/papers/2309.07382) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.13356", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [The Moral Machine Experiment on Large Language Models](https://huggingface.co/papers/2309.05958) (2023)\n* [Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?](https://huggingface.co/papers/2308.15399) (2023)\n* [The Confidence-Competence Gap in Large Language Models: A Cognitive Study](https://huggingface.co/papers/2309.16145) (2023)\n* [From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models](https://huggingface.co/papers/2308.12014) (2023)\n* [Investigating the Efficacy of Large Language Models in Reflective Assessment Methods through Chain of Thoughts Prompting](https://huggingface.co/papers/2310.00272) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.13952", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval](https://huggingface.co/papers/2309.08928) (2023)\n* [UnLoc: A Unified Framework for Video Localization Tasks](https://huggingface.co/papers/2308.11062) (2023)\n* [StoryBench: A Multifaceted Benchmark for Continuous Story Visualization](https://huggingface.co/papers/2308.11606) (2023)\n* [CoVR: Learning Composed Video Retrieval from Web Video Captions](https://huggingface.co/papers/2308.14746) (2023)\n* [UCF-Crime Annotation: A Benchmark for Surveillance Video-and-Language Understanding](https://huggingface.co/papers/2309.13925) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.14322", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit](https://huggingface.co/papers/2309.16620) (2023)\n* [Scaling Laws for Sparsely-Connected Foundation Models](https://huggingface.co/papers/2309.08520) (2023)\n* [Revisiting LARS for Large Batch Training Generalization of Neural Networks](https://huggingface.co/papers/2309.14053) (2023)\n* [Training and inference of large language models using 8-bit floating point](https://huggingface.co/papers/2309.17224) (2023)\n* [Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR)](https://huggingface.co/papers/2309.13681) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.15129", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [A Prefrontal Cortex-inspired Architecture for Planning in Large Language Models](https://huggingface.co/papers/2310.00194) (2023)\n* [Re-Reading Improves Reasoning in Language Models](https://huggingface.co/papers/2309.06275) (2023)\n* [Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis](https://huggingface.co/papers/2308.11224) (2023)\n* [Are Emergent Abilities in Large Language Models just In-Context Learning?](https://huggingface.co/papers/2309.01809) (2023)\n* [On the Planning, Search, and Memorization Capabilities of Large Language Models](https://huggingface.co/papers/2309.01868) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.15223", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Generative Speech Recognition Error Correction with Large Language Models](https://huggingface.co/papers/2309.15649) (2023)\n* [Sparsely Shared LoRA on Whisper for Child Speech Recognition](https://huggingface.co/papers/2309.11756) (2023)\n* [HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models](https://huggingface.co/papers/2309.15701) (2023)\n* [Improved Factorized Neural Transducer Model For text-only Domain Adaptation](https://huggingface.co/papers/2309.09524) (2023)\n* [Unsupervised Accent Adaptation Through Masked Language Model Correction Of Discrete Self-Supervised Speech Units](https://huggingface.co/papers/2309.13994) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.15251", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [AD-CLIP: Adapting Domains in Prompt Space Using CLIP](https://huggingface.co/papers/2308.05659) (2023)\n* [Read-only Prompt Optimization for Vision-Language Few-shot Learning](https://huggingface.co/papers/2308.14960) (2023)\n* [PRE: Vision-Language Prompt Learning with Reparameterization Encoder](https://huggingface.co/papers/2309.07760) (2023)\n* [GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning](https://huggingface.co/papers/2308.11605) (2023)\n* [DPL: Decoupled Prompt Learning for Vision-Language Models](https://huggingface.co/papers/2308.10061) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.15273", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [POCO: 3D Pose and Shape Estimation with Confidence](https://huggingface.co/papers/2308.12965) (2023)\n* [GRIP: Generating Interaction Poses Using Latent Consistency and Spatial Cues](https://huggingface.co/papers/2308.11617) (2023)\n* [FreeMan: Towards Benchmarking 3D Human Pose Estimation in the Wild](https://huggingface.co/papers/2309.05073) (2023)\n* [CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images](https://huggingface.co/papers/2308.12288) (2023)\n* [RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation](https://huggingface.co/papers/2309.09301) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.15426", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Local Positional Encoding for Multi-Layer Perceptrons](https://huggingface.co/papers/2309.15101) (2023)\n* [ResFields: Residual Neural Fields for Spatiotemporal Signals](https://huggingface.co/papers/2309.03160) (2023)\n* [SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations](https://huggingface.co/papers/2309.15848) (2023)\n* [RHINO: Regularizing the Hash-based Implicit Neural Representation](https://huggingface.co/papers/2309.12642) (2023)\n* [NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes](https://huggingface.co/papers/2308.12967) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.15505", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MEMORY-VQ: Compression for Tractable Internet-Scale Memory](https://huggingface.co/papers/2308.14903) (2023)\n* [Neural Image Compression Using Masked Sparse Visual Representation](https://huggingface.co/papers/2309.11661) (2023)\n* [Transformer-VQ: Linear-Time Transformers via Vector Quantization](https://huggingface.co/papers/2309.16354) (2023)\n* [SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations](https://huggingface.co/papers/2309.15848) (2023)\n* [EnCodecMAE: Leveraging neural codecs for universal audio representation learning](https://huggingface.co/papers/2309.07391) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.15564", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning](https://huggingface.co/papers/2309.02591) (2023)\n* [Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages](https://huggingface.co/papers/2308.12038) (2023)\n* [Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts](https://huggingface.co/papers/2309.15915) (2023)\n* [AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model](https://huggingface.co/papers/2309.16058) (2023)\n* [Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions](https://huggingface.co/papers/2308.04152) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.15807", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [PixArt-$\\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis](https://huggingface.co/papers/2310.00426) (2023)\n* [IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models](https://huggingface.co/papers/2308.06721) (2023)\n* [Dense Text-to-Image Generation with Attention Modulation](https://huggingface.co/papers/2308.12964) (2023)\n* [PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models](https://huggingface.co/papers/2309.05793) (2023)\n* [The Five-Dollar Model: Generating Game Maps and Sprites from Sentence Embeddings](https://huggingface.co/papers/2308.04052) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2309.15818", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models](https://huggingface.co/papers/2309.15103) (2023)\n* [VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation](https://huggingface.co/papers/2309.00398) (2023)\n* [Dual-Stream Diffusion Net for Text-to-Video Generation](https://huggingface.co/papers/2308.08316) (2023)\n* [SimDA: Simple Diffusion Adapter for Efficient Video Generation](https://huggingface.co/papers/2308.09710) (2023)\n* [ModelScope Text-to-Video Technical Report](https://huggingface.co/papers/2308.06571) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.00426", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models](https://huggingface.co/papers/2309.05793) (2023)\n* [IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models](https://huggingface.co/papers/2308.06721) (2023)\n* [Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack](https://huggingface.co/papers/2309.15807) (2023)\n* [LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models](https://huggingface.co/papers/2309.15103) (2023)\n* [InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation](https://huggingface.co/papers/2309.06380) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.00704", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts](https://huggingface.co/papers/2309.11977) (2023)\n* [SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models](https://huggingface.co/papers/2308.16692) (2023)\n* [AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining](https://huggingface.co/papers/2308.05734) (2023)\n* [SpeechX: Neural Codec Language Model as a Versatile Speech Transformer](https://huggingface.co/papers/2308.06873) (2023)\n* [Fewer-token Neural Speech Codec with Time-invariant Codes](https://huggingface.co/papers/2310.00014) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.01557", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MindAgent: Emergent Gaming Interaction](https://huggingface.co/papers/2309.09971) (2023)\n* [GameEval: Evaluating LLMs on Conversational Games](https://huggingface.co/papers/2308.10032) (2023)\n* [BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents](https://huggingface.co/papers/2308.05960) (2023)\n* [RLAdapter: Bridging Large Language Models to Reinforcement Learning in Open Worlds](https://huggingface.co/papers/2309.17176) (2023)\n* [The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs](https://huggingface.co/papers/2310.01468) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.01596", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods](https://huggingface.co/papers/2310.02426) (2023)\n* [Guiding Instruction-based Image Editing via Multimodal Large Language Models](https://huggingface.co/papers/2309.17102) (2023)\n* [MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens](https://huggingface.co/papers/2310.02239) (2023)\n* [DreamCom: Finetuning Text-guided Inpainting Model for Image Composition](https://huggingface.co/papers/2309.15508) (2023)\n* [Kosmos-G: Generating Images in Context with Multimodal Large Language Models](https://huggingface.co/papers/2310.02992) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.01714", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CodeCoT and Beyond: Learning to Program and Test like a Developer](https://huggingface.co/papers/2308.08784) (2023)\n* [Agent Instructs Large Language Models to be General Zero-Shot Reasoners](https://huggingface.co/papers/2310.03710) (2023)\n* [Are Human-generated Demonstrations Necessary for In-context Learning?](https://huggingface.co/papers/2309.14681) (2023)\n* [Enhancing Reasoning Capabilities of Large Language Models: A Graph-Based Verification Approach](https://huggingface.co/papers/2308.09267) (2023)\n* [Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic](https://huggingface.co/papers/2309.13339) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.01798", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SELF: Language-Driven Self-Evolution for Large Language Model](https://huggingface.co/papers/2310.00533) (2023)\n* [Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration](https://huggingface.co/papers/2310.00280) (2023)\n* [Re-Reading Improves Reasoning in Language Models](https://huggingface.co/papers/2309.06275) (2023)\n* [Ask Again, Then Fail: Large Language Models' Vacillations in Judgement](https://huggingface.co/papers/2310.02174) (2023)\n* [Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic](https://huggingface.co/papers/2309.13339) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.03046", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback](https://huggingface.co/papers/2309.10691) (2023)\n* [CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets](https://huggingface.co/papers/2309.17428) (2023)\n* [Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning](https://huggingface.co/papers/2310.03094) (2023)\n* [Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations](https://huggingface.co/papers/2308.16505) (2023)\n* [CodeCoT and Beyond: Learning to Program and Test like a Developer](https://huggingface.co/papers/2308.08784) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.03051", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [HANS, are you clever? Clever Hans Effect Analysis of Neural Systems](https://huggingface.co/papers/2309.12481) (2023)\n* [Re-Reading Improves Reasoning in Language Models](https://huggingface.co/papers/2309.06275) (2023)\n* [Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic](https://huggingface.co/papers/2309.13339) (2023)\n* [The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs](https://huggingface.co/papers/2310.01468) (2023)\n* [Large Language Models as Analogical Reasoners](https://huggingface.co/papers/2310.01714) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.03094", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Effective Distillation of Table-based Reasoning Ability from LLMs](https://huggingface.co/papers/2309.13182) (2023)\n* [Forward-Backward Reasoning in Large Language Models for Mathematical Verification](https://huggingface.co/papers/2308.07758) (2023)\n* [Agent Instructs Large Language Models to be General Zero-Shot Reasoners](https://huggingface.co/papers/2310.03710) (2023)\n* [SCREWS: A Modular Framework for Reasoning with Revisions](https://huggingface.co/papers/2309.13075) (2023)\n* [Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering](https://huggingface.co/papers/2308.13259) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.03214", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Making Retrieval-Augmented Language Models Robust to Irrelevant Context](https://huggingface.co/papers/2310.01558) (2023)\n* [EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning](https://huggingface.co/papers/2309.10687) (2023)\n* [Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise](https://huggingface.co/papers/2310.03328) (2023)\n* [Retrieval meets Long Context Large Language Models](https://huggingface.co/papers/2310.03025) (2023)\n* [Benchmarking Large Language Models in Retrieval-Augmented Generation](https://huggingface.co/papers/2309.01431) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.03502", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models](https://huggingface.co/papers/2308.06721) (2023)\n* [VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation](https://huggingface.co/papers/2309.00398) (2023)\n* [DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability](https://huggingface.co/papers/2308.09306) (2023)\n* [Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation](https://huggingface.co/papers/2309.15818) (2023)\n* [AltDiffusion: A Multilingual Text-to-Image Diffusion Model](https://huggingface.co/papers/2308.09991) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2310.03704", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LEAP: Liberate Sparse-view 3D Modeling from Camera Poses](https://huggingface.co/papers/2310.01410) (2023)\n* [Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models](https://huggingface.co/papers/2310.03020) (2023)\n* [Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views](https://huggingface.co/papers/2308.14078) (2023)\n* [Light Field Diffusion for Single-View Novel View Synthesis](https://huggingface.co/papers/2309.11525) (2023)\n* [3D Reconstruction with Generalizable Neural Fields using Scene Priors](https://huggingface.co/papers/2309.15164) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2310.03714", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CodeCoT and Beyond: Learning to Program and Test like a Developer](https://huggingface.co/papers/2308.08784) (2023)\n* [AskIt: Unified Programming Interface for Programming with Large Language Models](https://huggingface.co/papers/2308.15645) (2023)\n* [Prompt2Model: Generating Deployable Models from Natural Language Instructions](https://huggingface.co/papers/2308.12261) (2023)\n* [LLM Guided Inductive Inference for Solving Compositional Problems](https://huggingface.co/papers/2309.11688) (2023)\n* [Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning](https://huggingface.co/papers/2309.10814) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.03716", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback](https://huggingface.co/papers/2309.00267) (2023)\n* [Aligning Language Models with Offline Reinforcement Learning from Human Feedback](https://huggingface.co/papers/2308.12050) (2023)\n* [Reward Model Ensembles Help Mitigate Overoptimization](https://huggingface.co/papers/2310.02743) (2023)\n* [Efficient RLHF: Reducing the Memory Usage of PPO](https://huggingface.co/papers/2309.00754) (2023)\n* [UltraFeedback: Boosting Language Models with High-quality Feedback](https://huggingface.co/papers/2310.01377) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.03720", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Agent Instructs Large Language Models to be General Zero-Shot Reasoners](https://huggingface.co/papers/2310.03710) (2023)\n* [LASER: LLM Agent with State-Space Exploration for Web Navigation](https://huggingface.co/papers/2309.08172) (2023)\n* [MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback](https://huggingface.co/papers/2309.10691) (2023)\n* [Instance Needs More Care: Rewriting Prompts for Instances Yields Better Zero-Shot Performance](https://huggingface.co/papers/2310.02107) (2023)\n* [You Only Look at Screens: Multimodal Chain-of-Action Agents](https://huggingface.co/papers/2309.11436) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.03731", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning](https://huggingface.co/papers/2309.05653) (2023)\n* [Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification](https://huggingface.co/papers/2308.07921) (2023)\n* [ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving](https://huggingface.co/papers/2309.17452) (2023)\n* [MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models](https://huggingface.co/papers/2309.12284) (2023)\n* [WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct](https://huggingface.co/papers/2308.09583) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.03734", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization](https://huggingface.co/papers/2309.04669) (2023)\n* [EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE](https://huggingface.co/papers/2308.11971) (2023)\n* [ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation](https://huggingface.co/papers/2308.16689) (2023)\n* [Kosmos-G: Generating Images in Context with Multimodal Large Language Models](https://huggingface.co/papers/2310.02992) (2023)\n* [MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens](https://huggingface.co/papers/2310.02239) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.03739", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Directly Fine-Tuning Diffusion Models on Differentiable Rewards](https://huggingface.co/papers/2309.17400) (2023)\n* [DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability](https://huggingface.co/papers/2308.09306) (2023)\n* [IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models](https://huggingface.co/papers/2308.06721) (2023)\n* [LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models](https://huggingface.co/papers/2309.15103) (2023)\n* [Kosmos-G: Generating Images in Context with Multimodal Large Language Models](https://huggingface.co/papers/2310.02992) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+++ b/data/2310.03744.json
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+{"paper_url": "https://huggingface.co/papers/2310.03744", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models](https://huggingface.co/papers/2308.13437) (2023)\n* [An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models](https://huggingface.co/papers/2309.09958) (2023)\n* [Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond](https://huggingface.co/papers/2308.12966) (2023)\n* [Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts](https://huggingface.co/papers/2309.15915) (2023)\n* [Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants](https://huggingface.co/papers/2310.00653) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.06830", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback](https://huggingface.co/papers/2309.10691) (2023)\n* [L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models](https://huggingface.co/papers/2309.17446) (2023)\n* [Qwen Technical Report](https://huggingface.co/papers/2309.16609) (2023)\n* [At Which Training Stage Does Code Data Help LLMs Reasoning?](https://huggingface.co/papers/2309.16298) (2023)\n* [FireAct: Toward Language Agent Fine-tuning](https://huggingface.co/papers/2310.05915) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.07889", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [March in Chat: Interactive Prompting for Remote Embodied Referring Expression](https://huggingface.co/papers/2308.10141) (2023)\n* [Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions](https://huggingface.co/papers/2309.11382) (2023)\n* [SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments](https://huggingface.co/papers/2309.04077) (2023)\n* [Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation](https://huggingface.co/papers/2309.03661) (2023)\n* [Explore and Tell: Embodied Visual Captioning in 3D Environments](https://huggingface.co/papers/2308.10447) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.08185", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence](https://huggingface.co/papers/2310.05388) (2023)\n* [Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation](https://huggingface.co/papers/2310.08395) (2023)\n* [Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques](https://huggingface.co/papers/2310.08101) (2023)\n* [Visual Storytelling with Question-Answer Plans](https://huggingface.co/papers/2310.05295) (2023)\n* [Retrieval-Generation Synergy Augmented Large Language Models](https://huggingface.co/papers/2310.05149) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.08465", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models](https://huggingface.co/papers/2309.15103) (2023)\n* [Dual-Stream Diffusion Net for Text-to-Video Generation](https://huggingface.co/papers/2308.08316) (2023)\n* [Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation](https://huggingface.co/papers/2309.15818) (2023)\n* [FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing](https://huggingface.co/papers/2310.05922) (2023)\n* [SimDA: Simple Diffusion Adapter for Efficient Video Generation](https://huggingface.co/papers/2308.09710) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.08529", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Text-to-3D using Gaussian Splatting](https://huggingface.co/papers/2309.16585) (2023)\n* [EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior](https://huggingface.co/papers/2308.13223) (2023)\n* [IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts](https://huggingface.co/papers/2310.05375) (2023)\n* [DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation](https://huggingface.co/papers/2309.16653) (2023)\n* [HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation](https://huggingface.co/papers/2310.01406) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.08541", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models](https://huggingface.co/papers/2310.07653) (2023)\n* [OpenLEAF: Open-Domain Interleaved Image-Text Generation and Evaluation](https://huggingface.co/papers/2310.07749) (2023)\n* [MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens](https://huggingface.co/papers/2310.02239) (2023)\n* [ObjectComposer: Consistent Generation of Multiple Objects Without Fine-tuning](https://huggingface.co/papers/2310.06968) (2023)\n* [WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AI](https://huggingface.co/papers/2308.13355) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.08579", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation](https://huggingface.co/papers/2310.01406) (2023)\n* [JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling](https://huggingface.co/papers/2310.06347) (2023)\n* [Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models](https://huggingface.co/papers/2310.06313) (2023)\n* [Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization](https://huggingface.co/papers/2308.14469) (2023)\n* [DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability](https://huggingface.co/papers/2308.09306) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.08588", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Aligning Large Multimodal Models with Factually Augmented RLHF](https://huggingface.co/papers/2309.14525) (2023)\n* [SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models](https://huggingface.co/papers/2310.03291) (2023)\n* [GenSim: Generating Robotic Simulation Tasks via Large Language Models](https://huggingface.co/papers/2310.01361) (2023)\n* [SALMON: Self-Alignment with Principle-Following Reward Models](https://huggingface.co/papers/2310.05910) (2023)\n* [TouchStone: Evaluating Vision-Language Models by Language Models](https://huggingface.co/papers/2308.16890) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.08659", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models](https://huggingface.co/papers/2309.14717) (2023)\n* [NOLA: Networks as Linear Combination of Low Rank Random Basis](https://huggingface.co/papers/2310.02556) (2023)\n* [Norm Tweaking: High-performance Low-bit Quantization of Large Language Models](https://huggingface.co/papers/2309.02784) (2023)\n* [LoRA ensembles for large language model fine-tuning](https://huggingface.co/papers/2310.00035) (2023)\n* [ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers](https://huggingface.co/papers/2309.16119) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.08678", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [NLPBench: Evaluating Large Language Models on Solving NLP Problems](https://huggingface.co/papers/2309.15630) (2023)\n* [InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning](https://huggingface.co/papers/2309.13064) (2023)\n* [GLoRE: Evaluating Logical Reasoning of Large Language Models](https://huggingface.co/papers/2310.09107) (2023)\n* [Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning](https://huggingface.co/papers/2310.03094) (2023)\n* [Agent Instructs Large Language Models to be General Zero-Shot Reasoners](https://huggingface.co/papers/2310.03710) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.08715", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Few-Shot Spoken Language Understanding via Joint Speech-Text Models](https://huggingface.co/papers/2310.05919) (2023)\n* [Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks](https://huggingface.co/papers/2309.07937) (2023)\n* [LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT](https://huggingface.co/papers/2310.04673) (2023)\n* [Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis](https://huggingface.co/papers/2310.05374) (2023)\n* [Cross-Modal Multi-Tasking for Speech-to-Text Translation via Hard Parameter Sharing](https://huggingface.co/papers/2309.15826) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.08740", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LASER: LLM Agent with State-Space Exploration for Web Navigation](https://huggingface.co/papers/2309.08172) (2023)\n* [HeaP: Hierarchical Policies for Web Actions using LLMs](https://huggingface.co/papers/2310.03720) (2023)\n* [Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models](https://huggingface.co/papers/2310.04406) (2023)\n* [CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization](https://huggingface.co/papers/2310.10134) (2023)\n* [Interactive Task Planning with Language Models](https://huggingface.co/papers/2310.10645) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.08992", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Test-Case-Driven Programming Understanding in Large Language Models for Better Code Generation](https://huggingface.co/papers/2309.16120) (2023)\n* [Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for Code Generation](https://huggingface.co/papers/2310.10698) (2023)\n* [The Program Testing Ability of Large Language Models for Code](https://huggingface.co/papers/2310.05727) (2023)\n* [Ada-Instruct: Adapting Instruction Generators for Complex Reasoning](https://huggingface.co/papers/2310.04484) (2023)\n* [ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification](https://huggingface.co/papers/2310.10996) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.09139", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Contrastive Decoding Improves Reasoning in Large Language Models](https://huggingface.co/papers/2309.09117) (2023)\n* [Critique Ability of Large Language Models](https://huggingface.co/papers/2310.04815) (2023)\n* [Making Retrieval-Augmented Language Models Robust to Irrelevant Context](https://huggingface.co/papers/2310.01558) (2023)\n* [Diversity of Thought Improves Reasoning Abilities of Large Language Models](https://huggingface.co/papers/2310.07088) (2023)\n* [Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model](https://huggingface.co/papers/2310.09520) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.09199", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond](https://huggingface.co/papers/2308.12966) (2023)\n* [From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models](https://huggingface.co/papers/2310.08825) (2023)\n* [MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning](https://huggingface.co/papers/2310.09478) (2023)\n* [UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model](https://huggingface.co/papers/2310.05126) (2023)\n* [Improved Baselines with Visual Instruction Tuning](https://huggingface.co/papers/2310.03744) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.09263", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks](https://huggingface.co/papers/2310.00789) (2023)\n* [LLM-augmented Preference Learning from Natural Language](https://huggingface.co/papers/2310.08523) (2023)\n* [Efficient Finetuning Large Language Models For Vietnamese Chatbot](https://huggingface.co/papers/2309.04646) (2023)\n* [A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks](https://huggingface.co/papers/2310.09430) (2023)\n* [Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model](https://huggingface.co/papers/2310.08072) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.09342", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Lemur: Integrating Large Language Models in Automated Program Verification](https://huggingface.co/papers/2310.04870) (2023)\n* [A Deductive Verification Infrastructure for Probabilistic Programs](https://huggingface.co/papers/2309.07781) (2023)\n* [Large Language Model-Aware In-Context Learning for Code Generation](https://huggingface.co/papers/2310.09748) (2023)\n* [VerilogEval: Evaluating Large Language Models for Verilog Code Generation](https://huggingface.co/papers/2309.07544) (2023)\n* [The Program Testing Ability of Large Language Models for Code](https://huggingface.co/papers/2310.05727) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.09478", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond](https://huggingface.co/papers/2308.12966) (2023)\n* [Ziya-VL: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning](https://huggingface.co/papers/2310.08166) (2023)\n* [From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models](https://huggingface.co/papers/2310.08825) (2023)\n* [Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs](https://huggingface.co/papers/2310.00582) (2023)\n* [Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models](https://huggingface.co/papers/2308.13437) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.09520", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Controllable Text Generation with Residual Memory Transformer](https://huggingface.co/papers/2309.16231) (2023)\n* [Prompt-Based Length Controlled Generation with Reinforcement Learning](https://huggingface.co/papers/2308.12030) (2023)\n* [Parameter-Efficient Tuning Helps Language Model Alignment](https://huggingface.co/papers/2310.00819) (2023)\n* [Toward Unified Controllable Text Generation via Regular Expression Instruction](https://huggingface.co/papers/2309.10447) (2023)\n* [Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://huggingface.co/papers/2310.01119) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.09753", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations](https://huggingface.co/papers/2310.10616) (2023)\n* [Improving Length-Generalization in Transformers via Task Hinting](https://huggingface.co/papers/2310.00726) (2023)\n* [A Meta-Learning Perspective on Transformers for Causal Language Modeling](https://huggingface.co/papers/2310.05884) (2023)\n* [Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions](https://huggingface.co/papers/2310.03016) (2023)\n* [Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages](https://huggingface.co/papers/2309.00857) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.09983", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Self-Supervised Dataset Distillation for Transfer Learning](https://huggingface.co/papers/2310.06511) (2023)\n* [Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality](https://huggingface.co/papers/2310.06982) (2023)\n* [Can pre-trained models assist in dataset distillation?](https://huggingface.co/papers/2310.03295) (2023)\n* [Efficient Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories](https://huggingface.co/papers/2310.10541) (2023)\n* [DataDAM: Efficient Dataset Distillation with Attention Matching](https://huggingface.co/papers/2310.00093) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.10047", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Making Large Language Models Better Reasoners with Alignment](https://huggingface.co/papers/2309.02144) (2023)\n* [KwaiYiiMath: Technical Report](https://huggingface.co/papers/2310.07488) (2023)\n* [Design of Chain-of-Thought in Math Problem Solving](https://huggingface.co/papers/2309.11054) (2023)\n* [MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models](https://huggingface.co/papers/2309.12284) (2023)\n* [Effective Distillation of Table-based Reasoning Ability from LLMs](https://huggingface.co/papers/2309.13182) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.10537", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Training and inference of large language models using 8-bit floating point](https://huggingface.co/papers/2309.17224) (2023)\n* [BitNet: Scaling 1-bit Transformers for Large Language Models](https://huggingface.co/papers/2310.11453) (2023)\n* [Efficient Post-training Quantization with FP8 Formats](https://huggingface.co/papers/2309.14592) (2023)\n* [DeepliteRT: Computer Vision at the Edge](https://huggingface.co/papers/2309.10878) (2023)\n* [ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers](https://huggingface.co/papers/2309.16119) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.10625", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Learning to Act from Actionless Videos through Dense Correspondences](https://huggingface.co/papers/2310.08576) (2023)\n* [Compositional Foundation Models for Hierarchical Planning](https://huggingface.co/papers/2309.08587) (2023)\n* [Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models](https://huggingface.co/papers/2310.10639) (2023)\n* [VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning](https://huggingface.co/papers/2309.15091) (2023)\n* [GenSim: Generating Robotic Simulation Tasks via Large Language Models](https://huggingface.co/papers/2310.01361) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.10631", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text](https://huggingface.co/papers/2310.06786) (2023)\n* [TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models](https://huggingface.co/papers/2310.10180) (2023)\n* [FIMO: A Challenge Formal Dataset for Automated Theorem Proving](https://huggingface.co/papers/2309.04295) (2023)\n* [Qwen Technical Report](https://huggingface.co/papers/2309.16609) (2023)\n* [Code Llama: Open Foundation Models for Code](https://huggingface.co/papers/2308.12950) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.10638", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation](https://huggingface.co/papers/2310.04408) (2023)\n* [Retrieval meets Long Context Large Language Models](https://huggingface.co/papers/2310.03025) (2023)\n* [InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining](https://huggingface.co/papers/2310.07713) (2023)\n* [Retrieval-Generation Synergy Augmented Large Language Models](https://huggingface.co/papers/2310.05149) (2023)\n* [Fine-Tuning LLaMA for Multi-Stage Text Retrieval](https://huggingface.co/papers/2310.08319) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.10645", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Human-Assisted Continual Robot Learning with Foundation Models](https://huggingface.co/papers/2309.14321) (2023)\n* [CoPAL: Corrective Planning of Robot Actions with Large Language Models](https://huggingface.co/papers/2310.07263) (2023)\n* [SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models](https://huggingface.co/papers/2309.10062) (2023)\n* [WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model](https://huggingface.co/papers/2308.15962) (2023)\n* [HiCRISP: A Hierarchical Closed-Loop Robotic Intelligent Self-Correction Planner](https://huggingface.co/papers/2309.12089) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.10769", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation](https://huggingface.co/papers/2309.00398) (2023)\n* [ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation](https://huggingface.co/papers/2310.07697) (2023)\n* [Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator](https://huggingface.co/papers/2309.14494) (2023)\n* [MotionDirector: Motion Customization of Text-to-Video Diffusion Models](https://huggingface.co/papers/2310.08465) (2023)\n* [LOVECon: Text-driven Training-Free Long Video Editing with ControlNet](https://huggingface.co/papers/2310.09711) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.10837", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts](https://huggingface.co/papers/2309.04354) (2023)\n* [Exploiting Transformer Activation Sparsity with Dynamic Inference](https://huggingface.co/papers/2310.04361) (2023)\n* [Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning](https://huggingface.co/papers/2309.05444) (2023)\n* [MatFormer: Nested Transformer for Elastic Inference](https://huggingface.co/papers/2310.07707) (2023)\n* [Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness](https://huggingface.co/papers/2310.02410) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.10944", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs](https://huggingface.co/papers/2309.05516) (2023)\n* [OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models](https://huggingface.co/papers/2308.13137) (2023)\n* [FPTQ: Fine-grained Post-Training Quantization for Large Language Models](https://huggingface.co/papers/2308.15987) (2023)\n* [Norm Tweaking: High-performance Low-bit Quantization of Large Language Models](https://huggingface.co/papers/2309.02784) (2023)\n* [QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models](https://huggingface.co/papers/2310.08041) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.10971", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [In-Context Learning for Few-Shot Molecular Property Prediction](https://huggingface.co/papers/2310.08863) (2023)\n* [Text-driven Prompt Generation for Vision-Language Models in Federated Learning](https://huggingface.co/papers/2310.06123) (2023)\n* [Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment](https://huggingface.co/papers/2309.04158) (2023)\n* [Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks](https://huggingface.co/papers/2310.08255) (2023)\n* [Small Visual Language Models can also be Open-Ended Few-Shot Learners](https://huggingface.co/papers/2310.00500) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.11248", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding](https://huggingface.co/papers/2308.14508) (2023)\n* [Code Llama: Open Foundation Models for Code](https://huggingface.co/papers/2308.12950) (2023)\n* [SWE-bench: Can Language Models Resolve Real-World GitHub Issues?](https://huggingface.co/papers/2310.06770) (2023)\n* [CAT-LM: Training Language Models on Aligned Code And Tests](https://huggingface.co/papers/2310.01602) (2023)\n* [Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names?](https://huggingface.co/papers/2309.07804) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.11440", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning](https://huggingface.co/papers/2309.15091) (2023)\n* [VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation](https://huggingface.co/papers/2309.00398) (2023)\n* [Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack](https://huggingface.co/papers/2309.15807) (2023)\n* [MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens](https://huggingface.co/papers/2310.02239) (2023)\n* [LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models](https://huggingface.co/papers/2309.15103) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.11441", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond](https://huggingface.co/papers/2308.12966) (2023)\n* [Improved Baselines with Visual Instruction Tuning](https://huggingface.co/papers/2310.03744) (2023)\n* [LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent](https://huggingface.co/papers/2309.12311) (2023)\n* [Ferret: Refer and Ground Anything Anywhere at Any Granularity](https://huggingface.co/papers/2310.07704) (2023)\n* [InstructDiffusion: A Generalist Modeling Interface for Vision Tasks](https://huggingface.co/papers/2309.03895) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.11448", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [4D Gaussian Splatting for Real-Time Dynamic Scene Rendering](https://huggingface.co/papers/2310.08528) (2023)\n* [Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes](https://huggingface.co/papers/2310.08585) (2023)\n* [DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis](https://huggingface.co/papers/2310.11449) (2023)\n* [Point-DynRF: Point-based Dynamic Radiance Fields from a Monocular Video](https://huggingface.co/papers/2310.09647) (2023)\n* [ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images](https://huggingface.co/papers/2309.08957) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.11453", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Understanding the Impact of Post-Training Quantization on Large Language Models](https://huggingface.co/papers/2309.05210) (2023)\n* [Towards End-to-end 4-Bit Inference on Generative Large Language Models](https://huggingface.co/papers/2310.09259) (2023)\n* [Norm Tweaking: High-performance Low-bit Quantization of Large Language Models](https://huggingface.co/papers/2309.02784) (2023)\n* [PB-LLM: Partially Binarized Large Language Models](https://huggingface.co/papers/2310.00034) (2023)\n* [TEQ: Trainable Equivalent Transformation for Quantization of LLMs](https://huggingface.co/papers/2310.10944) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.11454", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [NOLA: Networks as Linear Combination of Low Rank Random Basis](https://huggingface.co/papers/2310.02556) (2023)\n* [Decomposed Prompt Tuning via Low-Rank Reparameterization](https://huggingface.co/papers/2310.10094) (2023)\n* [IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning](https://huggingface.co/papers/2308.12043) (2023)\n* [LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models](https://huggingface.co/papers/2310.08659) (2023)\n* [Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning](https://huggingface.co/papers/2309.06922) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.11511", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Retrieval-Generation Synergy Augmented Large Language Models](https://huggingface.co/papers/2310.05149) (2023)\n* [RA-DIT: Retrieval-Augmented Dual Instruction Tuning](https://huggingface.co/papers/2310.01352) (2023)\n* [RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models](https://huggingface.co/papers/2308.10633) (2023)\n* [RAGAS: Automated Evaluation of Retrieval Augmented Generation](https://huggingface.co/papers/2309.15217) (2023)\n* [Making Retrieval-Augmented Language Models Robust to Irrelevant Context](https://huggingface.co/papers/2310.01558) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.11784", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [FocalDreamer: Text-driven 3D Editing via Focal-fusion Assembly](https://huggingface.co/papers/2308.10608) (2023)\n* [LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts](https://huggingface.co/papers/2310.10640) (2023)\n* [IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts](https://huggingface.co/papers/2310.05375) (2023)\n* [Chasing Consistency in Text-to-3D Generation from a Single Image](https://huggingface.co/papers/2309.03599) (2023)\n* [ITEM3D: Illumination-Aware Directional Texture Editing for 3D Models](https://huggingface.co/papers/2309.14872) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.11954", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SAI: Solving AI Tasks with Systematic Artificial Intelligence in Communication Network](https://huggingface.co/papers/2310.09049) (2023)\n* [A Survey of AI Music Generation Tools and Models](https://huggingface.co/papers/2308.12982) (2023)\n* [Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles](https://huggingface.co/papers/2309.10228) (2023)\n* [AutoML-GPT: Large Language Model for AutoML](https://huggingface.co/papers/2309.01125) (2023)\n* [Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques](https://huggingface.co/papers/2310.08101) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.12274", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else](https://huggingface.co/papers/2310.07419) (2023)\n* [DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing](https://huggingface.co/papers/2310.08785) (2023)\n* [Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing](https://huggingface.co/papers/2309.15664) (2023)\n* [SingleInsert: Inserting New Concepts from a Single Image into Text-to-Image Models for Flexible Editing](https://huggingface.co/papers/2310.08094) (2023)\n* [PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models](https://huggingface.co/papers/2309.05793) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.12404", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models](https://huggingface.co/papers/2310.11954) (2023)\n* [ID.8: Co-Creating Visual Stories with Generative AI](https://huggingface.co/papers/2309.14228) (2023)\n* [WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AI](https://huggingface.co/papers/2308.13355) (2023)\n* [MuseChat: A Conversational Music Recommendation System for Videos](https://huggingface.co/papers/2310.06282) (2023)\n* [Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques](https://huggingface.co/papers/2310.08101) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.12474", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [HiFi-123: Towards High-fidelity One Image to 3D Content Generation](https://huggingface.co/papers/2310.06744) (2023)\n* [DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation](https://huggingface.co/papers/2309.16653) (2023)\n* [HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation](https://huggingface.co/papers/2310.01406) (2023)\n* [Text-to-3D using Gaussian Splatting](https://huggingface.co/papers/2309.16585) (2023)\n* [ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF](https://huggingface.co/papers/2310.02712) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.12773", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SALMON: Self-Alignment with Principle-Following Reward Models](https://huggingface.co/papers/2310.05910) (2023)\n* [Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment](https://huggingface.co/papers/2310.00212) (2023)\n* [Improving Generalization of Alignment with Human Preferences through Group Invariant Learning](https://huggingface.co/papers/2310.11971) (2023)\n* [RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback](https://huggingface.co/papers/2309.00267) (2023)\n* [Stabilizing RLHF through Advantage Model and Selective Rehearsal](https://huggingface.co/papers/2309.10202) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.12823", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [FireAct: Toward Language Agent Fine-tuning](https://huggingface.co/papers/2310.05915) (2023)\n* [Lemur: Harmonizing Natural Language and Code for Language Agents](https://huggingface.co/papers/2310.06830) (2023)\n* [Adapting LLM Agents Through Communication](https://huggingface.co/papers/2310.01444) (2023)\n* [RLAdapter: Bridging Large Language Models to Reinforcement Learning in Open Worlds](https://huggingface.co/papers/2309.17176) (2023)\n* [LLaMA Rider: Spurring Large Language Models to Explore the Open World](https://huggingface.co/papers/2310.08922) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.12921", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [RoboCLIP: One Demonstration is Enough to Learn Robot Policies](https://huggingface.co/papers/2310.07899) (2023)\n* [Guide Your Agent with Adaptive Multimodal Rewards](https://huggingface.co/papers/2309.10790) (2023)\n* [What Matters to You? Towards Visual Representation Alignment for Robot Learning](https://huggingface.co/papers/2310.07932) (2023)\n* [Eureka: Human-Level Reward Design via Coding Large Language Models](https://huggingface.co/papers/2310.12931) (2023)\n* [Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning](https://huggingface.co/papers/2309.11489) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2310.12931.json b/data/2310.12931.json
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+++ b/data/2310.12931.json
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+{"paper_url": "https://huggingface.co/papers/2310.12931", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning](https://huggingface.co/papers/2309.11489) (2023)\n* [Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics](https://huggingface.co/papers/2309.06687) (2023)\n* [RoboCLIP: One Demonstration is Enough to Learn Robot Policies](https://huggingface.co/papers/2310.07899) (2023)\n* [Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning](https://huggingface.co/papers/2310.12921) (2023)\n* [GenSim: Generating Robotic Simulation Tasks via Large Language Models](https://huggingface.co/papers/2310.01361) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.12945", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts](https://huggingface.co/papers/2310.10640) (2023)\n* [LLMR: Real-time Prompting of Interactive Worlds using Large Language Models](https://huggingface.co/papers/2309.12276) (2023)\n* [JM3D&JM3D-LLM: Elevating 3D Representation with Joint Multi-modal Cues](https://huggingface.co/papers/2310.09503) (2023)\n* [Progressive Text-to-3D Generation for Automatic 3D Prototyping](https://huggingface.co/papers/2309.14600) (2023)\n* [ITEM3D: Illumination-Aware Directional Texture Editing for 3D Models](https://huggingface.co/papers/2309.14872) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.12962", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [OpenChat: Advancing Open-source Language Models with Mixed-Quality Data](https://huggingface.co/papers/2309.11235) (2023)\n* [Understanding Catastrophic Forgetting in Language Models via Implicit Inference](https://huggingface.co/papers/2309.10105) (2023)\n* [Improving Large Language Model Fine-tuning for Solving Math Problems](https://huggingface.co/papers/2310.10047) (2023)\n* [From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning](https://huggingface.co/papers/2310.00492) (2023)\n* [Efficient Finetuning Large Language Models For Vietnamese Chatbot](https://huggingface.co/papers/2309.04646) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.12963", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning](https://huggingface.co/papers/2310.03094) (2023)\n* [Knowledge-Augmented Language Model Verification](https://huggingface.co/papers/2310.12836) (2023)\n* [Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness](https://huggingface.co/papers/2308.16175) (2023)\n* [Diversity of Thought Improves Reasoning Abilities of Large Language Models](https://huggingface.co/papers/2310.07088) (2023)\n* [Agent Instructs Large Language Models to be General Zero-Shot Reasoners](https://huggingface.co/papers/2310.03710) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13012", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models](https://huggingface.co/papers/2310.10049) (2023)\n* [Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models](https://huggingface.co/papers/2308.14149) (2023)\n* [SoTaNa: The Open-Source Software Development Assistant](https://huggingface.co/papers/2308.13416) (2023)\n* [XGen-7B Technical Report](https://huggingface.co/papers/2309.03450) (2023)\n* [Privacy in Large Language Models: Attacks, Defenses and Future Directions](https://huggingface.co/papers/2310.10383) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13065", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Interactive Task Planning with Language Models](https://huggingface.co/papers/2310.10645) (2023)\n* [Human-Assisted Continual Robot Learning with Foundation Models](https://huggingface.co/papers/2309.14321) (2023)\n* [CoPAL: Corrective Planning of Robot Actions with Large Language Models](https://huggingface.co/papers/2310.07263) (2023)\n* [WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model](https://huggingface.co/papers/2308.15962) (2023)\n* [ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning](https://huggingface.co/papers/2308.13724) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13119", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints](https://huggingface.co/papers/2310.03602) (2023)\n* [Breathing New Life into 3D Assets with Generative Repainting](https://huggingface.co/papers/2309.08523) (2023)\n* [PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation](https://huggingface.co/papers/2310.09458) (2023)\n* [TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models](https://huggingface.co/papers/2309.11258) (2023)\n* [EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior](https://huggingface.co/papers/2308.13223) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13127", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Evaluating the Robustness to Instructions of Large Language Models](https://huggingface.co/papers/2308.14306) (2023)\n* [TeGit: Generating High-Quality Instruction-Tuning Data with Text-Grounded Task Design](https://huggingface.co/papers/2309.05447) (2023)\n* [Ada-Instruct: Adapting Instruction Generators for Complex Reasoning](https://huggingface.co/papers/2310.04484) (2023)\n* [Diversity of Thought Improves Reasoning Abilities of Large Language Models](https://huggingface.co/papers/2310.07088) (2023)\n* [Toward Unified Controllable Text Generation via Regular Expression Instruction](https://huggingface.co/papers/2309.10447) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13227", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models](https://huggingface.co/papers/2310.04406) (2023)\n* [Autonomous Tree-search Ability of Large Language Models](https://huggingface.co/papers/2310.10686) (2023)\n* [Tree-Planner: Efficient Close-loop Task Planning with Large Language Models](https://huggingface.co/papers/2310.08582) (2023)\n* [Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning](https://huggingface.co/papers/2310.04474) (2023)\n* [LASER: LLM Agent with State-Space Exploration for Web Navigation](https://huggingface.co/papers/2309.08172) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13268", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference](https://huggingface.co/papers/2310.04378) (2023)\n* [Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner](https://huggingface.co/papers/2310.09469) (2023)\n* [Elucidating the solution space of extended reverse-time SDE for diffusion models](https://huggingface.co/papers/2309.06169) (2023)\n* [SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models](https://huggingface.co/papers/2309.05019) (2023)\n* [Distilling ODE Solvers of Diffusion Models into Smaller Steps](https://huggingface.co/papers/2309.16421) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13289", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models](https://huggingface.co/papers/2310.05863) (2023)\n* [SLM: Bridge the thin gap between speech and text foundation models](https://huggingface.co/papers/2310.00230) (2023)\n* [LLaSM: Large Language and Speech Model](https://huggingface.co/papers/2308.15930) (2023)\n* [LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT](https://huggingface.co/papers/2310.04673) (2023)\n* [BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing](https://huggingface.co/papers/2309.00916) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13332", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering](https://huggingface.co/papers/2308.13259) (2023)\n* [Effective Distillation of Table-based Reasoning Ability from LLMs](https://huggingface.co/papers/2309.13182) (2023)\n* [DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models](https://huggingface.co/papers/2310.05074) (2023)\n* [Large Language Models Are Also Good Prototypical Commonsense Reasoners](https://huggingface.co/papers/2309.13165) (2023)\n* [KwaiYiiMath: Technical Report](https://huggingface.co/papers/2310.07488) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13355", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction](https://huggingface.co/papers/2310.01403) (2023)\n* [Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection](https://huggingface.co/papers/2310.00161) (2023)\n* [Contrastive Feature Masking Open-Vocabulary Vision Transformer](https://huggingface.co/papers/2309.00775) (2023)\n* [EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment](https://huggingface.co/papers/2309.01151) (2023)\n* [Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks](https://huggingface.co/papers/2310.08255) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13385", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca](https://huggingface.co/papers/2309.08958) (2023)\n* [XGen-7B Technical Report](https://huggingface.co/papers/2309.03450) (2023)\n* [Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning](https://huggingface.co/papers/2310.11716) (2023)\n* [CITING: Large Language Models Create Curriculum for Instruction Tuning](https://huggingface.co/papers/2310.02527) (2023)\n* [AlpaGasus: Training A Better Alpaca with Fewer Data](https://huggingface.co/papers/2307.08701) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13522", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Enable Language Models to Implicitly Learn Self-Improvement From Data](https://huggingface.co/papers/2310.00898) (2023)\n* [Diversity of Thought Improves Reasoning Abilities of Large Language Models](https://huggingface.co/papers/2310.07088) (2023)\n* [MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models](https://huggingface.co/papers/2310.12426) (2023)\n* [Chain-of-Thought Reasoning is a Policy Improvement Operator](https://huggingface.co/papers/2309.08589) (2023)\n* [Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection](https://huggingface.co/papers/2310.05035) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13545", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [FreeU: Free Lunch in Diffusion U-Net](https://huggingface.co/papers/2309.11497) (2023)\n* [Denoising Task Routing for Diffusion Models](https://huggingface.co/papers/2310.07138) (2023)\n* [Debias the Training of Diffusion Models](https://huggingface.co/papers/2310.08442) (2023)\n* [Residual Denoising Diffusion Models](https://huggingface.co/papers/2308.13712) (2023)\n* [LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation](https://huggingface.co/papers/2309.15363) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13548", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback](https://huggingface.co/papers/2309.00267) (2023)\n* [SALMON: Self-Alignment with Principle-Following Reward Models](https://huggingface.co/papers/2310.05910) (2023)\n* [UltraFeedback: Boosting Language Models with High-quality Feedback](https://huggingface.co/papers/2310.01377) (2023)\n* [Verbosity Bias in Preference Labeling by Large Language Models](https://huggingface.co/papers/2310.10076) (2023)\n* [Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models](https://huggingface.co/papers/2308.15812) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13639", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Learning Optimal Advantage from Preferences and Mistaking it for Reward](https://huggingface.co/papers/2310.02456) (2023)\n* [Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment](https://huggingface.co/papers/2310.00212) (2023)\n* [A General Theoretical Paradigm to Understand Learning from Human Preferences](https://huggingface.co/papers/2310.12036) (2023)\n* [Deep Reinforcement Learning from Hierarchical Weak Preference Feedback](https://huggingface.co/papers/2309.02632) (2023)\n* [RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback](https://huggingface.co/papers/2309.00267) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13671", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs](https://huggingface.co/papers/2309.09582) (2023)\n* [Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://huggingface.co/papers/2310.01119) (2023)\n* [Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model](https://huggingface.co/papers/2310.08072) (2023)\n* [Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations](https://huggingface.co/papers/2310.07849) (2023)\n* [Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering](https://huggingface.co/papers/2309.06358) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13724", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration](https://huggingface.co/papers/2310.06208) (2023)\n* [Human-in-the-Loop Task and Motion Planning for Imitation Learning](https://huggingface.co/papers/2310.16014) (2023)\n* [ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting](https://huggingface.co/papers/2310.13258) (2023)\n* [Deep Imitation Learning for Humanoid Loco-manipulation through Human Teleoperation](https://huggingface.co/papers/2309.01952) (2023)\n* [Unified Human-Scene Interaction via Prompted Chain-of-Contacts](https://huggingface.co/papers/2309.07918) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13730", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Unbiased Face Synthesis With Diffusion Models: Are We There Yet?](https://huggingface.co/papers/2309.07277) (2023)\n* [Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation](https://huggingface.co/papers/2309.14859) (2023)\n* [Improving Compositional Text-to-image Generation with Large Vision-Language Models](https://huggingface.co/papers/2310.06311) (2023)\n* [Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion](https://huggingface.co/papers/2310.03502) (2023)\n* [Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models](https://huggingface.co/papers/2308.15854) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13772", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation](https://huggingface.co/papers/2310.09458) (2023)\n* [DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation](https://huggingface.co/papers/2310.13119) (2023)\n* [Breathing New Life into 3D Assets with Generative Repainting](https://huggingface.co/papers/2309.08523) (2023)\n* [HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation](https://huggingface.co/papers/2310.01406) (2023)\n* [HiFi-123: Towards High-fidelity One Image to 3D Content Generation](https://huggingface.co/papers/2310.06744) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13798", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems](https://huggingface.co/papers/2310.05280) (2023)\n* [AI Alignment and Social Choice: Fundamental Limitations and Policy Implications](https://huggingface.co/papers/2310.16048) (2023)\n* [Strengthening the EU AI Act: Defining Key Terms on AI Manipulation](https://huggingface.co/papers/2308.16364) (2023)\n* [Towards Understanding Sycophancy in Language Models](https://huggingface.co/papers/2310.13548) (2023)\n* [Dialogues with algorithms](https://huggingface.co/papers/2309.10678) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.13961", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://huggingface.co/papers/2310.01119) (2023)\n* [ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer](https://huggingface.co/papers/2309.08583) (2023)\n* [Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models](https://huggingface.co/papers/2310.13127) (2023)\n* [PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation](https://huggingface.co/papers/2310.14192) (2023)\n* [Tuna: Instruction Tuning using Feedback from Large Language Models](https://huggingface.co/papers/2310.13385) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.14495", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models](https://huggingface.co/papers/2309.17446) (2023)\n* [Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models](https://huggingface.co/papers/2310.13127) (2023)\n* [Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks](https://huggingface.co/papers/2310.10508) (2023)\n* [Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?](https://huggingface.co/papers/2309.08963) (2023)\n* [API-Assisted Code Generation for Question Answering on Varied Table Structures](https://huggingface.co/papers/2310.14687) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.14566", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning](https://huggingface.co/papers/2309.02301) (2023)\n* [MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts](https://huggingface.co/papers/2310.02255) (2023)\n* [TouchStone: Evaluating Vision-Language Models by Language Models](https://huggingface.co/papers/2308.16890) (2023)\n* [ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models](https://huggingface.co/papers/2310.05872) (2023)\n* [Large Language Models are Temporal and Causal Reasoners for Video Question Answering](https://huggingface.co/papers/2310.15747) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.14573", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Rethinking STS and NLI in Large Language Models](https://huggingface.co/papers/2309.08969) (2023)\n* [GLoRE: Evaluating Logical Reasoning of Large Language Models](https://huggingface.co/papers/2310.09107) (2023)\n* [Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing](https://huggingface.co/papers/2310.12664) (2023)\n* [MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation](https://huggingface.co/papers/2310.14088) (2023)\n* [BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP](https://huggingface.co/papers/2309.13173) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.15008", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SyncDreamer: Generating Multiview-consistent Images from a Single-view Image](https://huggingface.co/papers/2309.03453) (2023)\n* [Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models](https://huggingface.co/papers/2310.03020) (2023)\n* [HiFi-123: Towards High-fidelity One Image to 3D Content Generation](https://huggingface.co/papers/2310.06744) (2023)\n* [ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion](https://huggingface.co/papers/2310.10343) (2023)\n* [MVDream: Multi-view Diffusion for 3D Generation](https://huggingface.co/papers/2308.16512) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.15200", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment](https://huggingface.co/papers/2309.01151) (2023)\n* [ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation](https://huggingface.co/papers/2308.16689) (2023)\n* [Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and Data](https://huggingface.co/papers/2310.05010) (2023)\n* [Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval](https://huggingface.co/papers/2309.16137) (2023)\n* [CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction](https://huggingface.co/papers/2310.01403) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.15308", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement](https://huggingface.co/papers/2310.14108) (2023)\n* [SILC: Improving Vision Language Pretraining with Self-Distillation](https://huggingface.co/papers/2310.13355) (2023)\n* [CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction](https://huggingface.co/papers/2310.01403) (2023)\n* [Uni3D: Exploring Unified 3D Representation at Scale](https://huggingface.co/papers/2310.06773) (2023)\n* [SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models](https://huggingface.co/papers/2310.03291) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.15337", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Probing the Moral Development of Large Language Models through Defining Issues Test](https://huggingface.co/papers/2309.13356) (2023)\n* [Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?](https://huggingface.co/papers/2308.15399) (2023)\n* [Enhancing Stance Classification with Quantified Moral Foundations](https://huggingface.co/papers/2310.09848) (2023)\n* [Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning](https://huggingface.co/papers/2310.11053) (2023)\n* [What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations](https://huggingface.co/papers/2310.15431) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.15494", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Nugget 2D: Dynamic Contextual Compression for Scaling Decoder-only Language Models](https://huggingface.co/papers/2310.02409) (2023)\n* [Efficient Streaming Language Models with Attention Sinks](https://huggingface.co/papers/2309.17453) (2023)\n* [Context Compression for Auto-regressive Transformers with Sentinel Tokens](https://huggingface.co/papers/2310.08152) (2023)\n* [Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning](https://huggingface.co/papers/2309.08708) (2023)\n* [Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention](https://huggingface.co/papers/2310.07911) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.15511", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation](https://huggingface.co/papers/2310.03214) (2023)\n* [Investigating Answerability of LLMs for Long-Form Question Answering](https://huggingface.co/papers/2309.08210) (2023)\n* [RA-DIT: Retrieval-Augmented Dual Instruction Tuning](https://huggingface.co/papers/2310.01352) (2023)\n* [Self-Knowledge Guided Retrieval Augmentation for Large Language Models](https://huggingface.co/papers/2310.05002) (2023)\n* [KGQUIZ: Evaluating the Generalization of Encoded Knowledge in Large Language Models](https://huggingface.co/papers/2310.09725) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.15916", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Function Vectors in Large Language Models](https://huggingface.co/papers/2310.15213) (2023)\n* [Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions](https://huggingface.co/papers/2310.03016) (2023)\n* [The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning](https://huggingface.co/papers/2310.04680) (2023)\n* [Do pretrained Transformers Really Learn In-context by Gradient Descent?](https://huggingface.co/papers/2310.08540) (2023)\n* [How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations](https://huggingface.co/papers/2310.10616) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.15987", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning](https://huggingface.co/papers/2310.13448) (2023)\n* [SCALE: Synergized Collaboration of Asymmetric Language Translation Engines](https://huggingface.co/papers/2309.17061) (2023)\n* [GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4](https://huggingface.co/papers/2310.13988) (2023)\n* [Neural Machine Translation Models Can Learn to be Few-shot Learners](https://huggingface.co/papers/2309.08590) (2023)\n* [Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting](https://huggingface.co/papers/2310.05824) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.16045", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning](https://huggingface.co/papers/2309.02301) (2023)\n* [Evaluation and Mitigation of Agnosia in Multimodal Large Language Models](https://huggingface.co/papers/2309.04041) (2023)\n* [Aligning Large Multimodal Models with Factually Augmented RLHF](https://huggingface.co/papers/2309.14525) (2023)\n* [HallE-Switch: Rethinking and Controlling Object Existence Hallucinations in Large Vision Language Models for Detailed Caption](https://huggingface.co/papers/2310.01779) (2023)\n* [Evaluation and Analysis of Hallucination in Large Vision-Language Models](https://huggingface.co/papers/2308.15126) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.17022", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Don't throw away your value model! Making PPO even better via Value-Guided Monte-Carlo Tree Search decoding](https://huggingface.co/papers/2309.15028) (2023)\n* [Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment](https://huggingface.co/papers/2310.00212) (2023)\n* [Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model](https://huggingface.co/papers/2310.09520) (2023)\n* [SuperHF: Supervised Iterative Learning from Human Feedback](https://huggingface.co/papers/2310.16763) (2023)\n* [Reward Model Ensembles Help Mitigate Overoptimization](https://huggingface.co/papers/2310.02743) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.17075", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF](https://huggingface.co/papers/2310.02712) (2023)\n* [TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields](https://huggingface.co/papers/2309.17175) (2023)\n* [Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else](https://huggingface.co/papers/2310.07419) (2023)\n* [Noise-Free Score Distillation](https://huggingface.co/papers/2310.17590) (2023)\n* [ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context](https://huggingface.co/papers/2310.09965) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.17157", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models](https://huggingface.co/papers/2310.04564) (2023)\n* [Towards End-to-end 4-Bit Inference on Generative Large Language Models](https://huggingface.co/papers/2310.09259) (2023)\n* [Sparse Fine-tuning for Inference Acceleration of Large Language Models](https://huggingface.co/papers/2310.06927) (2023)\n* [LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers](https://huggingface.co/papers/2310.03294) (2023)\n* [Context Compression for Auto-regressive Transformers with Sentinel Tokens](https://huggingface.co/papers/2310.08152) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.17631", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Split and Merge: Aligning Position Biases in Large Language Model based Evaluators](https://huggingface.co/papers/2310.01432) (2023)\n* [Improving Automatic VQA Evaluation Using Large Language Models](https://huggingface.co/papers/2310.02567) (2023)\n* [Generative Judge for Evaluating Alignment](https://huggingface.co/papers/2310.05470) (2023)\n* [Efficient Finetuning Large Language Models For Vietnamese Chatbot](https://huggingface.co/papers/2309.04646) (2023)\n* [OpenChat: Advancing Open-source Language Models with Mixed-Quality Data](https://huggingface.co/papers/2309.11235) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.17680", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SteloCoder: a Decoder-Only LLM for Multi-Language to Python Code Translation](https://huggingface.co/papers/2310.15539) (2023)\n* [T5APR: Empowering Automated Program Repair across Languages through Checkpoint Ensemble](https://huggingface.co/papers/2309.15742) (2023)\n* [CAT-LM: Training Language Models on Aligned Code And Tests](https://huggingface.co/papers/2310.01602) (2023)\n* [InstructCoder: Empowering Language Models for Code Editing](https://huggingface.co/papers/2310.20329) (2023)\n* [InstructExcel: A Benchmark for Natural Language Instruction in Excel](https://huggingface.co/papers/2310.14495) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.17722", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning](https://huggingface.co/papers/2310.20587) (2023)\n* [Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance](https://huggingface.co/papers/2310.10021) (2023)\n* [MUTEX: Learning Unified Policies from Multimodal Task Specifications](https://huggingface.co/papers/2309.14320) (2023)\n* [RoboCLIP: One Demonstration is Enough to Learn Robot Policies](https://huggingface.co/papers/2310.07899) (2023)\n* [Hierarchical reinforcement learning with natural language subgoals](https://huggingface.co/papers/2309.11564) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.17750", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [GPTFUZZER : Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts](https://huggingface.co/papers/2309.10253) (2023)\n* [Design-Inclusive Language Models for Responsible Information Access](https://huggingface.co/papers/2310.18333) (2023)\n* [Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation](https://huggingface.co/papers/2310.14424) (2023)\n* [ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models](https://huggingface.co/papers/2310.09624) (2023)\n* [Advancing Requirements Engineering through Generative AI: Assessing the Role of LLMs](https://huggingface.co/papers/2310.13976) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.17752", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity](https://huggingface.co/papers/2310.19509) (2023)\n* [Sparse Fine-tuning for Inference Acceleration of Large Language Models](https://huggingface.co/papers/2310.06927) (2023)\n* [Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations](https://huggingface.co/papers/2309.08978) (2023)\n* [G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations](https://huggingface.co/papers/2310.09443) (2023)\n* [Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation](https://huggingface.co/papers/2309.13192) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.17784", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing](https://huggingface.co/papers/2310.12664) (2023)\n* [Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges](https://huggingface.co/papers/2309.12426) (2023)\n* [DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning](https://huggingface.co/papers/2310.15205) (2023)\n* [CFGPT: Chinese Financial Assistant with Large Language Model](https://huggingface.co/papers/2309.10654) (2023)\n* [Adapting Large Language Models via Reading Comprehension](https://huggingface.co/papers/2309.09530) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.17796", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning](https://huggingface.co/papers/2310.04474) (2023)\n* [Integrating Graphs with Large Language Models: Methods and Prospects](https://huggingface.co/papers/2310.05499) (2023)\n* [Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding](https://huggingface.co/papers/2310.07075) (2023)\n* [Autonomous Tree-search Ability of Large Language Models](https://huggingface.co/papers/2310.10686) (2023)\n* [MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback](https://huggingface.co/papers/2309.10691) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.17880", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations](https://huggingface.co/papers/2310.14487) (2023)\n* [3D Reconstruction with Generalizable Neural Fields using Scene Priors](https://huggingface.co/papers/2309.15164) (2023)\n* [UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene](https://huggingface.co/papers/2310.13263) (2023)\n* [PERF: Panoramic Neural Radiance Field from a Single Panorama](https://huggingface.co/papers/2310.16831) (2023)\n* [ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context](https://huggingface.co/papers/2310.09965) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.17994", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis](https://huggingface.co/papers/2310.16167) (2023)\n* [Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models](https://huggingface.co/papers/2310.03020) (2023)\n* [Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models](https://huggingface.co/papers/2309.07986) (2023)\n* [PERF: Panoramic Neural Radiance Field from a Single Panorama](https://huggingface.co/papers/2310.16831) (2023)\n* [TOSS: High-quality Text-guided Novel View Synthesis from a Single Image](https://huggingface.co/papers/2310.10644) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.18168", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets](https://huggingface.co/papers/2310.06824) (2023)\n* [DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models](https://huggingface.co/papers/2309.03883) (2023)\n* [Meta- (out-of-context) learning in neural networks](https://huggingface.co/papers/2310.15047) (2023)\n* [Self-Consistency of Large Language Models under Ambiguity](https://huggingface.co/papers/2310.13439) (2023)\n* [Unsupervised Contrast-Consistent Ranking with Language Models](https://huggingface.co/papers/2309.06991) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.18313", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [AdaLomo: Low-memory Optimization with Adaptive Learning Rate](https://huggingface.co/papers/2310.10195) (2023)\n* [Training and inference of large language models using 8-bit floating point](https://huggingface.co/papers/2309.17224) (2023)\n* [QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources](https://huggingface.co/papers/2310.07147) (2023)\n* [BitNet: Scaling 1-bit Transformers for Large Language Models](https://huggingface.co/papers/2310.11453) (2023)\n* [Baichuan 2: Open Large-scale Language Models](https://huggingface.co/papers/2309.10305) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.18356", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models](https://huggingface.co/papers/2310.05015) (2023)\n* [Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning](https://huggingface.co/papers/2310.06694) (2023)\n* [Can pruning make Large Language Models more efficient?](https://huggingface.co/papers/2310.04573) (2023)\n* [ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models](https://huggingface.co/papers/2310.02998) (2023)\n* [Compressing LLMs: The Truth is Rarely Pure and Never Simple](https://huggingface.co/papers/2310.01382) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.18628", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Democratizing Reasoning Ability: Tailored Learning from Large Language Model](https://huggingface.co/papers/2310.13332) (2023)\n* [Teaching Language Models to Self-Improve through Interactive Demonstrations](https://huggingface.co/papers/2310.13522) (2023)\n* [InstructCoder: Empowering Language Models for Code Editing](https://huggingface.co/papers/2310.20329) (2023)\n* [MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback](https://huggingface.co/papers/2309.10691) (2023)\n* [UltraFeedback: Boosting Language Models with High-quality Feedback](https://huggingface.co/papers/2310.01377) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.19019", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models](https://huggingface.co/papers/2310.01119) (2023)\n* [Large Language Models Are Also Good Prototypical Commonsense Reasoners](https://huggingface.co/papers/2309.13165) (2023)\n* [Democratizing Reasoning Ability: Tailored Learning from Large Language Model](https://huggingface.co/papers/2310.13332) (2023)\n* [FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning](https://huggingface.co/papers/2309.04663) (2023)\n* [Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model](https://huggingface.co/papers/2310.08072) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.19061", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [A Comprehensive Study of GPT-4V's Multimodal Capabilities in Medical Imaging](https://huggingface.co/papers/2310.20381) (2023)\n* [Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare](https://huggingface.co/papers/2310.17956) (2023)\n* [MedEdit: Model Editing for Medical Question Answering with External Knowledge Bases](https://huggingface.co/papers/2309.16035) (2023)\n* [EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images](https://huggingface.co/papers/2310.18652) (2023)\n* [CXR-LLaVA: Multimodal Large Language Model for Interpreting Chest X-ray Images](https://huggingface.co/papers/2310.18341) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.19102", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM](https://huggingface.co/papers/2310.04836) (2023)\n* [Towards End-to-end 4-Bit Inference on Generative Large Language Models](https://huggingface.co/papers/2310.09259) (2023)\n* [QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models](https://huggingface.co/papers/2310.08041) (2023)\n* [Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models](https://huggingface.co/papers/2309.15531) (2023)\n* [Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling](https://huggingface.co/papers/2304.09145) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.19341", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications](https://huggingface.co/papers/2310.15777) (2023)\n* [OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch](https://huggingface.co/papers/2309.10706) (2023)\n* [Baichuan 2: Open Large-scale Language Models](https://huggingface.co/papers/2309.10305) (2023)\n* [Qwen Technical Report](https://huggingface.co/papers/2309.16609) (2023)\n* [A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models](https://huggingface.co/papers/2309.11674) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.19415", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Noise-Free Score Distillation](https://huggingface.co/papers/2310.17590) (2023)\n* [DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior](https://huggingface.co/papers/2310.16818) (2023)\n* [HiFi-123: Towards High-fidelity One Image to 3D Content Generation](https://huggingface.co/papers/2310.06744) (2023)\n* [HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation](https://huggingface.co/papers/2310.01406) (2023)\n* [SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D](https://huggingface.co/papers/2310.02596) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.19512", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models](https://huggingface.co/papers/2309.15103) (2023)\n* [Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models](https://huggingface.co/papers/2310.16400) (2023)\n* [SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction](https://huggingface.co/papers/2310.20700) (2023)\n* [Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation](https://huggingface.co/papers/2309.15818) (2023)\n* [LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation](https://huggingface.co/papers/2310.10769) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.19773", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [HowToCaption: Prompting LLMs to Transform Video Annotations at Scale](https://huggingface.co/papers/2310.04900) (2023)\n* [AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model](https://huggingface.co/papers/2309.16058) (2023)\n* [Language as the Medium: Multimodal Video Classification through text only](https://huggingface.co/papers/2309.10783) (2023)\n* [VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning](https://huggingface.co/papers/2309.15091) (2023)\n* [Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models](https://huggingface.co/papers/2310.05863) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.19784", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [TOSS: High-quality Text-guided Novel View Synthesis from a Single Image](https://huggingface.co/papers/2310.10644) (2023)\n* [PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models](https://huggingface.co/papers/2309.05793) (2023)\n* [LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts](https://huggingface.co/papers/2310.10640) (2023)\n* [Integrating View Conditions for Image Synthesis](https://huggingface.co/papers/2310.16002) (2023)\n* [Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models](https://huggingface.co/papers/2309.07986) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.19909", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement](https://huggingface.co/papers/2310.14108) (2023)\n* [RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models](https://huggingface.co/papers/2310.10221) (2023)\n* [Are Natural Domain Foundation Models Useful for Medical Image Classification?](https://huggingface.co/papers/2310.19522) (2023)\n* [Hierarchical Side-Tuning for Vision Transformers](https://huggingface.co/papers/2310.05393) (2023)\n* [SILC: Improving Vision Language Pretraining with Self-Distillation](https://huggingface.co/papers/2310.13355) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.19956", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SLOG: A Structural Generalization Benchmark for Semantic Parsing](https://huggingface.co/papers/2310.15040) (2023)\n* [Increasing The Performance of Cognitively Inspired Data-Efficient Language Models via Implicit Structure Building](https://huggingface.co/papers/2310.20589) (2023)\n* [Sparse Universal Transformer](https://huggingface.co/papers/2310.07096) (2023)\n* [Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns](https://huggingface.co/papers/2310.01749) (2023)\n* [Can pruning make Large Language Models more efficient?](https://huggingface.co/papers/2310.04573) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.20092", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Denoising Task Routing for Diffusion Models](https://huggingface.co/papers/2310.07138) (2023)\n* [Denoising Diffusion Step-aware Models](https://huggingface.co/papers/2310.03337) (2023)\n* [DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures](https://huggingface.co/papers/2310.04750) (2023)\n* [Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models](https://huggingface.co/papers/2309.14068) (2023)\n* [Neural Diffusion Models](https://huggingface.co/papers/2310.08337) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.20216", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Decoding Stumpers: Large Language Models vs. Human Problem-Solvers](https://huggingface.co/papers/2310.16411) (2023)\n* [The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs](https://huggingface.co/papers/2310.01468) (2023)\n* [Evaluating Large Language Models at Evaluating Instruction Following](https://huggingface.co/papers/2310.07641) (2023)\n* [HANS, are you clever? Clever Hans Effect Analysis of Neural Systems](https://huggingface.co/papers/2309.12481) (2023)\n* [Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models](https://huggingface.co/papers/2310.20499) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.20499", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game](https://huggingface.co/papers/2310.18940) (2023)\n* [From Text to Tactic: Evaluating LLMs Playing the Game of Avalon](https://huggingface.co/papers/2310.05036) (2023)\n* [Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4](https://huggingface.co/papers/2309.17277) (2023)\n* [The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs](https://huggingface.co/papers/2310.01468) (2023)\n* [Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf](https://huggingface.co/papers/2309.04658) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.20550", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions](https://huggingface.co/papers/2310.07699) (2023)\n* [SIEVE: Multimodal Dataset Pruning Using Image Captioning Models](https://huggingface.co/papers/2310.02110) (2023)\n* [Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency](https://huggingface.co/papers/2310.03734) (2023)\n* [From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models](https://huggingface.co/papers/2310.08825) (2023)\n* [Few-shot Action Recognition with Captioning Foundation Models](https://huggingface.co/papers/2310.10125) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.20587", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Pre-training with Synthetic Data Helps Offline Reinforcement Learning](https://huggingface.co/papers/2310.00771) (2023)\n* [Rethinking Decision Transformer via Hierarchical Reinforcement Learning](https://huggingface.co/papers/2311.00267) (2023)\n* [Large Language Models as Generalizable Policies for Embodied Tasks](https://huggingface.co/papers/2310.17722) (2023)\n* [Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt](https://huggingface.co/papers/2310.13024) (2023)\n* [B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis](https://huggingface.co/papers/2310.03173) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.20624", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B](https://huggingface.co/papers/2311.00117) (2023)\n* [Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!](https://huggingface.co/papers/2310.03693) (2023)\n* [Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions](https://huggingface.co/papers/2309.07875) (2023)\n* [Attack Prompt Generation for Red Teaming and Defending Large Language Models](https://huggingface.co/papers/2310.12505) (2023)\n* [Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models](https://huggingface.co/papers/2310.02949) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.20689", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models](https://huggingface.co/papers/2310.02255) (2023)\n* [Can Language Models Employ the Socratic Method? Experiments with Code Debugging](https://huggingface.co/papers/2310.03210) (2023)\n* [Democratizing Reasoning Ability: Tailored Learning from Large Language Model](https://huggingface.co/papers/2310.13332) (2023)\n* [MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning](https://huggingface.co/papers/2309.05653) (2023)\n* [Exploring an LM to generate Prolog Predicates from Mathematics Questions](https://huggingface.co/papers/2309.03667) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.20700", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models](https://huggingface.co/papers/2309.15103) (2023)\n* [Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation](https://huggingface.co/papers/2309.15818) (2023)\n* [A Survey on Video Diffusion Models](https://huggingface.co/papers/2310.10647) (2023)\n* [VideoCrafter1: Open Diffusion Models for High-Quality Video Generation](https://huggingface.co/papers/2310.19512) (2023)\n* [FreeNoise: Tuning-Free Longer Video Diffusion Via Noise Rescheduling](https://huggingface.co/papers/2310.15169) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2310.20707", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text](https://huggingface.co/papers/2310.06786) (2023)\n* [PuoBERTa: Training and evaluation of a curated language model for Setswana](https://huggingface.co/papers/2310.09141) (2023)\n* [NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark](https://huggingface.co/papers/2310.18018) (2023)\n* [An Open Source Data Contamination Report for Llama Series Models](https://huggingface.co/papers/2310.17589) (2023)\n* [Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model Evaluation](https://huggingface.co/papers/2309.10677) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00047", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models](https://huggingface.co/papers/2310.14566) (2023)\n* [ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models](https://huggingface.co/papers/2310.05872) (2023)\n* [ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense](https://huggingface.co/papers/2310.19301) (2023)\n* [On the Cognition of Visual Question Answering Models and Human Intelligence: A Comparative Study](https://huggingface.co/papers/2310.02528) (2023)\n* [Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models](https://huggingface.co/papers/2310.05338) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00059", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [How FaR Are Large Language Models From Agents with Theory-of-Mind?](https://huggingface.co/papers/2310.03051) (2023)\n* [Critique Ability of Large Language Models](https://huggingface.co/papers/2310.04815) (2023)\n* [From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning](https://huggingface.co/papers/2310.18364) (2023)\n* [TADIS: Steering Models for Deep-Thinking about Demonstration Examples](https://huggingface.co/papers/2310.00901) (2023)\n* [Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement](https://huggingface.co/papers/2310.08559) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00176", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [XGen-7B Technical Report](https://huggingface.co/papers/2309.03450) (2023)\n* [VerilogEval: Evaluating Large Language Models for Verilog Code Generation](https://huggingface.co/papers/2309.07544) (2023)\n* [CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model](https://huggingface.co/papers/2310.06266) (2023)\n* [LLM4VV: Developing LLM-Driven Testsuite for Compiler Validation](https://huggingface.co/papers/2310.04963) (2023)\n* [LLM for SoC Security: A Paradigm Shift](https://huggingface.co/papers/2310.06046) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00257", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Rethinking Memory and Communication Cost for Efficient Large Language Model Training](https://huggingface.co/papers/2310.06003) (2023)\n* [FP8-LM: Training FP8 Large Language Models](https://huggingface.co/papers/2310.18313) (2023)\n* [DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models](https://huggingface.co/papers/2309.14509) (2023)\n* [LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers](https://huggingface.co/papers/2310.03294) (2023)\n* [Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining](https://huggingface.co/papers/2310.12670) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00272", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Exploring Large Language Models for Code Explanation](https://huggingface.co/papers/2310.16673) (2023)\n* [Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks](https://huggingface.co/papers/2310.10508) (2023)\n* [A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair](https://huggingface.co/papers/2310.08879) (2023)\n* [Large Language Model-Aware In-Context Learning for Code Generation](https://huggingface.co/papers/2310.09748) (2023)\n* [CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models](https://huggingface.co/papers/2309.01940) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00430", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Data](https://huggingface.co/papers/2309.13876) (2023)\n* [HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models](https://huggingface.co/papers/2309.15701) (2023)\n* [CoLLD: Contrastive Layer-to-layer Distillation for Compressing Multilingual Pre-trained Speech Encoders](https://huggingface.co/papers/2309.07707) (2023)\n* [Massive End-to-end Models for Short Search Queries](https://huggingface.co/papers/2309.12963) (2023)\n* [Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition](https://huggingface.co/papers/2310.06434) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00522", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Learn Your Tokens: Word-Pooled Tokenization for Language Modeling](https://huggingface.co/papers/2310.11628) (2023)\n* [Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization](https://huggingface.co/papers/2309.04669) (2023)\n* [Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization](https://huggingface.co/papers/2309.04669) (2023)\n* [Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation](https://huggingface.co/papers/2310.03477) (2023)\n* [To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer](https://huggingface.co/papers/2310.08078) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00571", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Breaking Barriers to Creative Expression: Co-Designing and Implementing an Accessible Text-to-Image Interface](https://huggingface.co/papers/2309.02402) (2023)\n* [Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models](https://huggingface.co/papers/2310.07653) (2023)\n* [LLMR: Real-time Prompting of Interactive Worlds using Large Language Models](https://huggingface.co/papers/2309.12276) (2023)\n* [TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild](https://huggingface.co/papers/2309.08637) (2023)\n* [ILuvUI: Instruction-tuned LangUage-Vision modeling of UIs from Machine Conversations](https://huggingface.co/papers/2310.04869) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00613", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models](https://huggingface.co/papers/2310.14044) (2023)\n* [Enhance audio generation controllability through representation similarity regularization](https://huggingface.co/papers/2309.08773) (2023)\n* [Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation](https://huggingface.co/papers/2309.10740) (2023)\n* [Fast Diffusion GAN Model for Symbolic Music Generation Controlled by Emotions](https://huggingface.co/papers/2310.14040) (2023)\n* [Musical Form Generation](https://huggingface.co/papers/2310.19842) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00618", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Kosmos-G: Generating Images in Context with Multimodal Large Language Models](https://huggingface.co/papers/2310.02992) (2023)\n* [Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency](https://huggingface.co/papers/2310.03734) (2023)\n* [Text-image Alignment for Diffusion-based Perception](https://huggingface.co/papers/2310.00031) (2023)\n* [Making Multimodal Generation Easier: When Diffusion Models Meet LLMs](https://huggingface.co/papers/2310.08949) (2023)\n* [DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing](https://huggingface.co/papers/2310.08785) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00895", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [On The Open Prompt Challenge In Conditional Audio Generation](https://huggingface.co/papers/2311.00897) (2023)\n* [Retrieval-Augmented Text-to-Audio Generation](https://huggingface.co/papers/2309.08051) (2023)\n* [RECAP: Retrieval-Augmented Audio Captioning](https://huggingface.co/papers/2309.09836) (2023)\n* [VoiceLDM: Text-to-Speech with Environmental Context](https://huggingface.co/papers/2309.13664) (2023)\n* [PromptSpeaker: Speaker Generation Based on Text Descriptions](https://huggingface.co/papers/2310.05001) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00899", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Open X-Embodiment: Robotic Learning Datasets and RT-X Models](https://huggingface.co/papers/2310.08864) (2023)\n* [LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation](https://huggingface.co/papers/2310.12020) (2023)\n* [Vision-Language Foundation Models as Effective Robot Imitators](https://huggingface.co/papers/2311.01378) (2023)\n* [Video Language Planning](https://huggingface.co/papers/2310.10625) (2023)\n* [GenSim: Generating Robotic Simulation Tasks via Large Language Models](https://huggingface.co/papers/2310.01361) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.00945", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts](https://huggingface.co/papers/2309.11977) (2023)\n* [High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion Models](https://huggingface.co/papers/2309.15512) (2023)\n* [Style Description based Text-to-Speech with Conditional Prosodic Layer Normalization based Diffusion GAN](https://huggingface.co/papers/2310.18169) (2023)\n* [DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis](https://huggingface.co/papers/2309.12792) (2023)\n* [VoiceLDM: Text-to-Speech with Environmental Context](https://huggingface.co/papers/2309.13664) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+++ b/data/2311.01282.json
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+{"paper_url": "https://huggingface.co/papers/2311.01282", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity](https://huggingface.co/papers/2309.10285) (2023)\n* [PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers](https://huggingface.co/papers/2310.09385) (2023)\n* [Atom: Low-bit Quantization for Efficient and Accurate LLM Serving](https://huggingface.co/papers/2310.19102) (2023)\n* [Efficient Memory Management for Large Language Model Serving with PagedAttention](https://huggingface.co/papers/2309.06180) (2023)\n* [Towards End-to-end 4-Bit Inference on Generative Large Language Models](https://huggingface.co/papers/2310.09259) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.01455", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models](https://huggingface.co/papers/2310.18308) (2023)\n* [GenSim: Generating Robotic Simulation Tasks via Large Language Models](https://huggingface.co/papers/2310.01361) (2023)\n* [Lifelong Robot Learning with Human Assisted Language Planners](https://huggingface.co/papers/2309.14321) (2023)\n* [Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning](https://huggingface.co/papers/2309.11489) (2023)\n* [Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via Differentiable Physics Simulation](https://huggingface.co/papers/2310.04930) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.01462", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Score Mismatching for Generative Modeling](https://huggingface.co/papers/2309.11043) (2023)\n* [Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis](https://huggingface.co/papers/2310.00224) (2023)\n* [Generative Autoencoding of Dropout Patterns](https://huggingface.co/papers/2310.01712) (2023)\n* [DiffEnc: Variational Diffusion with a Learned Encoder](https://huggingface.co/papers/2310.19789) (2023)\n* [Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights](https://huggingface.co/papers/2310.16194) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+++ b/data/2311.01615.json
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+{"paper_url": "https://huggingface.co/papers/2311.01615", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Diffusion Models as Masked Audio-Video Learners](https://huggingface.co/papers/2310.03937) (2023)\n* [Improving Audio Captioning Models with Fine-grained Audio Features, Text Embedding Supervision, and LLM Mix-up Augmentation](https://huggingface.co/papers/2309.17352) (2023)\n* [Weakly-supervised Automated Audio Captioning via text only training](https://huggingface.co/papers/2309.12242) (2023)\n* [Speed Co-Augmentation for Unsupervised Audio-Visual Pre-training](https://huggingface.co/papers/2309.13942) (2023)\n* [Training Audio Captioning Models without Audio](https://huggingface.co/papers/2309.07372) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.01767", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Agent Instructs Large Language Models to be General Zero-Shot Reasoners](https://huggingface.co/papers/2310.03710) (2023)\n* [MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback](https://huggingface.co/papers/2309.10691) (2023)\n* [Can Large Language Models Understand Real-World Complex Instructions?](https://huggingface.co/papers/2309.09150) (2023)\n* [AgentTuning: Enabling Generalized Agent Abilities for LLMs](https://huggingface.co/papers/2310.12823) (2023)\n* [Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions](https://huggingface.co/papers/2310.07301) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.02077", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [S4C: Self-Supervised Semantic Scene Completion with Neural Fields](https://huggingface.co/papers/2310.07522) (2023)\n* [Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes](https://huggingface.co/papers/2310.08585) (2023)\n* [PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes](https://huggingface.co/papers/2309.10815) (2023)\n* [GNeSF: Generalizable Neural Semantic Fields](https://huggingface.co/papers/2310.15712) (2023)\n* [3D Reconstruction with Generalizable Neural Fields using Scene Priors](https://huggingface.co/papers/2309.15164) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.02103", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [TorchProbe: Fuzzing Dynamic Deep Learning Compilers](https://huggingface.co/papers/2310.20078) (2023)\n* [Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations](https://huggingface.co/papers/2309.08978) (2023)\n* [Learning Type Inference for Enhanced Dataflow Analysis](https://huggingface.co/papers/2310.00673) (2023)\n* [GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation](https://huggingface.co/papers/2310.10211) (2023)\n* [Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators](https://huggingface.co/papers/2310.17912) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.02262", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Attention Sorting Combats Recency Bias In Long Context Language Models](https://huggingface.co/papers/2310.01427) (2023)\n* [LLM-augmented Preference Learning from Natural Language](https://huggingface.co/papers/2310.08523) (2023)\n* [Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models](https://huggingface.co/papers/2310.20081) (2023)\n* [(Dynamic) Prompting might be all you need to repair Compressed LLMs](https://huggingface.co/papers/2310.00867) (2023)\n* [Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism](https://huggingface.co/papers/2310.16270) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.02303", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Parameter Efficient Multi-task Model Fusion with Partial Linearization](https://huggingface.co/papers/2310.04742) (2023)\n* [Scaled Prompt-Tuning for Few-Shot Natural Language Generation](https://huggingface.co/papers/2309.06759) (2023)\n* [Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning](https://huggingface.co/papers/2310.11670) (2023)\n* [Effective and Parameter-Efficient Reusing Fine-Tuned Models](https://huggingface.co/papers/2310.01886) (2023)\n* [Sparse Fine-tuning for Inference Acceleration of Large Language Models](https://huggingface.co/papers/2310.06927) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.02382", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models](https://huggingface.co/papers/2309.14509) (2023)\n* [LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers](https://huggingface.co/papers/2310.03294) (2023)\n* [Rethinking Memory and Communication Cost for Efficient Large Language Model Training](https://huggingface.co/papers/2310.06003) (2023)\n* [Ring Attention with Blockwise Transformers for Near-Infinite Context](https://huggingface.co/papers/2310.01889) (2023)\n* [PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers](https://huggingface.co/papers/2310.09385) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.02462", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Generative AI vs. AGI: The Cognitive Strengths and Weaknesses of Modern LLMs](https://huggingface.co/papers/2309.10371) (2023)\n* [Conceptual Framework for Autonomous Cognitive Entities](https://huggingface.co/papers/2310.06775) (2023)\n* [Coordinated pausing: An evaluation-based coordination scheme for frontier AI developers](https://huggingface.co/papers/2310.00374) (2023)\n* [Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics](https://huggingface.co/papers/2309.11981) (2023)\n* [The Rise and Potential of Large Language Model Based Agents: A Survey](https://huggingface.co/papers/2309.07864) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.02542", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction](https://huggingface.co/papers/2309.13101) (2023)\n* [4K4D: Real-Time 4D View Synthesis at 4K Resolution](https://huggingface.co/papers/2310.11448) (2023)\n* [Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes](https://huggingface.co/papers/2310.08585) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.02772", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction](https://huggingface.co/papers/2310.02720) (2023)\n* [Fast-HuBERT: An Efficient Training Framework for Self-Supervised Speech Representation Learning](https://huggingface.co/papers/2309.13860) (2023)\n* [CoLLD: Contrastive Layer-to-layer Distillation for Compressing Multilingual Pre-trained Speech Encoders](https://huggingface.co/papers/2309.07707) (2023)\n* [Training dynamic models using early exits for automatic speech recognition on resource-constrained devices](https://huggingface.co/papers/2309.09546) (2023)\n* [Echotune: A Modular Extractor Leveraging the Variable-Length Nature of Speech in ASR Tasks](https://huggingface.co/papers/2309.07765) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.02805", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF](https://huggingface.co/papers/2310.05344) (2023)\n* [Vanishing Gradients in Reinforcement Finetuning of Language Models](https://huggingface.co/papers/2310.20703) (2023)\n* [SuperHF: Supervised Iterative Learning from Human Feedback](https://huggingface.co/papers/2310.16763) (2023)\n* [Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging](https://huggingface.co/papers/2310.11564) (2023)\n* [Democratizing Reasoning Ability: Tailored Learning from Large Language Model](https://huggingface.co/papers/2310.13332) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.02848", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior](https://huggingface.co/papers/2310.16818) (2023)\n* [DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation](https://huggingface.co/papers/2309.16653) (2023)\n* [HiFi-123: Towards High-fidelity One Image to 3D Content Generation](https://huggingface.co/papers/2310.06744) (2023)\n* [iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis](https://huggingface.co/papers/2310.16167) (2023)\n* [Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes](https://huggingface.co/papers/2310.08585) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.02849", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Can a student Large Language Model perform as well as it's teacher?](https://huggingface.co/papers/2310.02421) (2023)\n* [Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression](https://huggingface.co/papers/2310.15594) (2023)\n* [A Comparative Analysis of Task-Agnostic Distillation Methods for Compressing Transformer Language Models](https://huggingface.co/papers/2310.08797) (2023)\n* [Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication](https://huggingface.co/papers/2310.03188) (2023)\n* [NetDistiller: Empowering Tiny Deep Learning via In-Situ Distillation](https://huggingface.co/papers/2310.19820) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.03079", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning](https://huggingface.co/papers/2310.09478) (2023)\n* [Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning](https://huggingface.co/papers/2310.08166) (2023)\n* [From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models](https://huggingface.co/papers/2310.08825) (2023)\n* [SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models](https://huggingface.co/papers/2310.03291) (2023)\n* [Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling](https://huggingface.co/papers/2310.04991) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.03226", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling](https://huggingface.co/papers/2310.06347) (2023)\n* [DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model](https://huggingface.co/papers/2310.07771) (2023)\n* [Light Field Diffusion for Single-View Novel View Synthesis](https://huggingface.co/papers/2309.11525) (2023)\n* [HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation](https://huggingface.co/papers/2310.01406) (2023)\n* [Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models](https://huggingface.co/papers/2310.18840) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.03285", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Punica: Multi-Tenant LoRA Serving](https://huggingface.co/papers/2310.18547) (2023)\n* [NOLA: Networks as Linear Combination of Low Rank Random Basis](https://huggingface.co/papers/2310.02556) (2023)\n* [QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models](https://huggingface.co/papers/2309.14717) (2023)\n* [LoRA ensembles for large language model fine-tuning](https://huggingface.co/papers/2310.00035) (2023)\n* [Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling](https://huggingface.co/papers/2310.12100) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.04931", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [H2O Open Ecosystem for State-of-the-art Large Language Models](https://huggingface.co/papers/2310.13012) (2023)\n* [Herd: Using multiple, smaller LLMs to match the performances of proprietary, large LLMs via an intelligent composer](https://huggingface.co/papers/2310.19902) (2023)\n* [GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond](https://huggingface.co/papers/2309.16583) (2023)\n* [Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models](https://huggingface.co/papers/2310.02949) (2023)\n* [Baichuan 2: Open Large-scale Language Models](https://huggingface.co/papers/2309.10305) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.04934", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs](https://huggingface.co/papers/2310.01801) (2023)\n* [CacheGen: Fast Context Loading for Language Model Applications](https://huggingface.co/papers/2310.07240) (2023)\n* [Efficient Streaming Language Models with Attention Sinks](https://huggingface.co/papers/2309.17453) (2023)\n* [Context Compression for Auto-regressive Transformers with Sentinel Tokens](https://huggingface.co/papers/2310.08152) (2023)\n* [(Dynamic) Prompting might be all you need to repair Compressed LLMs](https://huggingface.co/papers/2310.00867) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05332", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Vision Language Models in Autonomous Driving and Intelligent Transportation Systems](https://huggingface.co/papers/2310.14414) (2023)\n* [A Survey of Large Language Models for Autonomous Driving](https://huggingface.co/papers/2311.01043) (2023)\n* [DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model](https://huggingface.co/papers/2310.01412) (2023)\n* [Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles](https://huggingface.co/papers/2310.08034) (2023)\n* [Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving](https://huggingface.co/papers/2310.02251) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05348", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning](https://huggingface.co/papers/2310.09478) (2023)\n* [Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning](https://huggingface.co/papers/2310.08166) (2023)\n* [Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs](https://huggingface.co/papers/2310.00582) (2023)\n* [From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models](https://huggingface.co/papers/2310.08825) (2023)\n* [Lightweight In-Context Tuning for Multimodal Unified Models](https://huggingface.co/papers/2310.05109) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05437", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing](https://huggingface.co/papers/2311.00571) (2023)\n* [Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning](https://huggingface.co/papers/2310.08166) (2023)\n* [Improved Baselines with Visual Instruction Tuning](https://huggingface.co/papers/2310.03744) (2023)\n* [Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants](https://huggingface.co/papers/2310.00653) (2023)\n* [Lightweight In-Context Tuning for Multimodal Unified Models](https://huggingface.co/papers/2310.05109) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05556", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference](https://huggingface.co/papers/2310.04378) (2023)\n* [Conditional Diffusion Distillation](https://huggingface.co/papers/2310.01407) (2023)\n* [Aligning Text-to-Image Diffusion Models with Reward Backpropagation](https://huggingface.co/papers/2310.03739) (2023)\n* [Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation](https://huggingface.co/papers/2309.10740) (2023)\n* [Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models](https://huggingface.co/papers/2310.18840) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05640", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [On the Impact of Cross-Domain Data on German Language Models](https://huggingface.co/papers/2310.07321) (2023)\n* [CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages](https://huggingface.co/papers/2309.09400) (2023)\n* [Sequence-to-Sequence Spanish Pre-trained Language Models](https://huggingface.co/papers/2309.11259) (2023)\n* [A Family of Pretrained Transformer Language Models for Russian](https://huggingface.co/papers/2309.10931) (2023)\n* [Qwen Technical Report](https://huggingface.co/papers/2309.16609) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05657", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [AgentTuning: Enabling Generalized Agent Abilities for LLMs](https://huggingface.co/papers/2310.12823) (2023)\n* [Lemur: Harmonizing Natural Language and Code for Language Agents](https://huggingface.co/papers/2310.06830) (2023)\n* [FireAct: Toward Language Agent Fine-tuning](https://huggingface.co/papers/2310.05915) (2023)\n* [HeaP: Hierarchical Policies for Web Actions using LLMs](https://huggingface.co/papers/2310.03720) (2023)\n* [Agent Instructs Large Language Models to be General Zero-Shot Reasoners](https://huggingface.co/papers/2310.03710) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05661", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Instance Needs More Care: Rewriting Prompts for Instances Yields Better Zero-Shot Performance](https://huggingface.co/papers/2310.02107) (2023)\n* [Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing](https://huggingface.co/papers/2310.13855) (2023)\n* [PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization](https://huggingface.co/papers/2310.16427) (2023)\n* [Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review](https://huggingface.co/papers/2310.14735) (2023)\n* [MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning](https://huggingface.co/papers/2310.16049) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05698", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation](https://huggingface.co/papers/2309.16429) (2023)\n* [Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models](https://huggingface.co/papers/2310.05863) (2023)\n* [HowToCaption: Prompting LLMs to Transform Video Annotations at Scale](https://huggingface.co/papers/2310.04900) (2023)\n* [Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling](https://huggingface.co/papers/2310.04991) (2023)\n* [Lightweight In-Context Tuning for Multimodal Unified Models](https://huggingface.co/papers/2310.05109) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05707", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [TiC: Exploring Vision Transformer in Convolution](https://huggingface.co/papers/2310.04134) (2023)\n* [P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic Segmentation](https://huggingface.co/papers/2310.15025) (2023)\n* [DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion](https://huggingface.co/papers/2309.12424) (2023)\n* [TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition](https://huggingface.co/papers/2310.19380) (2023)\n* [Hierarchical Side-Tuning for Vision Transformers](https://huggingface.co/papers/2310.05393) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05770", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Joint Depth Prediction and Semantic Segmentation with Multi-View SAM](https://huggingface.co/papers/2311.00134) (2023)\n* [Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation](https://huggingface.co/papers/2310.00307) (2023)\n* [Superpixel Transformers for Efficient Semantic Segmentation](https://huggingface.co/papers/2309.16889) (2023)\n* [IEBins: Iterative Elastic Bins for Monocular Depth Estimation](https://huggingface.co/papers/2309.14137) (2023)\n* [RoadFormer: Duplex Transformer for RGB-Normal Semantic Road Scene Parsing](https://huggingface.co/papers/2309.10356) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05772", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [HeaP: Hierarchical Policies for Web Actions using LLMs](https://huggingface.co/papers/2310.03720) (2023)\n* [Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models](https://huggingface.co/papers/2310.04406) (2023)\n* [LLaMA Rider: Spurring Large Language Models to Explore the Open World](https://huggingface.co/papers/2310.08922) (2023)\n* [Interactive Task Planning with Language Models](https://huggingface.co/papers/2310.10645) (2023)\n* [Tree-Planner: Efficient Close-loop Task Planning with Large Language Models](https://huggingface.co/papers/2310.08582) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05884", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction](https://huggingface.co/papers/2311.04635) (2023)\n* [Personalized Transformer-based Ranking for e-Commerce at Yandex](https://huggingface.co/papers/2310.03481) (2023)\n* [Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation](https://huggingface.co/papers/2311.01056) (2023)\n* [ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction](https://huggingface.co/papers/2310.09234) (2023)\n* [Embedding in Recommender Systems: A Survey](https://huggingface.co/papers/2310.18608) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05908", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions](https://huggingface.co/papers/2310.18780) (2023)\n* [Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture](https://huggingface.co/papers/2310.12109) (2023)\n* [Accelerating Machine Learning Primitives on Commodity Hardware](https://huggingface.co/papers/2310.05218) (2023)\n* [Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity](https://huggingface.co/papers/2309.10285) (2023)\n* [DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models](https://huggingface.co/papers/2309.14509) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.05997", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds](https://huggingface.co/papers/2310.13255) (2023)\n* [LLaMA Rider: Spurring Large Language Models to Explore the Open World](https://huggingface.co/papers/2310.08922) (2023)\n* [GROOT: Learning to Follow Instructions by Watching Gameplay Videos](https://huggingface.co/papers/2310.08235) (2023)\n* [Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models](https://huggingface.co/papers/2310.15127) (2023)\n* [MindAgent: Emergent Gaming Interaction](https://huggingface.co/papers/2309.09971) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.06158", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models](https://huggingface.co/papers/2310.00836) (2023)\n* [Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning](https://huggingface.co/papers/2310.18338) (2023)\n* [Learning To Teach Large Language Models Logical Reasoning](https://huggingface.co/papers/2310.09158) (2023)\n* [LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers](https://huggingface.co/papers/2310.15164) (2023)\n* [Concise and Organized Perception Facilitates Large Language Models for Deductive Reasoning](https://huggingface.co/papers/2310.03309) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.06214", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation](https://huggingface.co/papers/2309.16653) (2023)\n* [TOSS: High-quality Text-guided Novel View Synthesis from a Single Image](https://huggingface.co/papers/2310.10644) (2023)\n* [SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D](https://huggingface.co/papers/2310.02596) (2023)\n* [HiFi-123: Towards High-fidelity One Image to 3D Content Generation](https://huggingface.co/papers/2310.06744) (2023)\n* [Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models](https://huggingface.co/papers/2310.03020) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.06242", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning](https://huggingface.co/papers/2310.09478) (2023)\n* [Recognize Any Regions](https://huggingface.co/papers/2311.01373) (2023)\n* [SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding](https://huggingface.co/papers/2310.15308) (2023)\n* [OV-VG: A Benchmark for Open-Vocabulary Visual Grounding](https://huggingface.co/papers/2310.14374) (2023)\n* [InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists](https://huggingface.co/papers/2310.00390) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.06243", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Decomposed Prompt Tuning via Low-Rank Reparameterization](https://huggingface.co/papers/2310.10094) (2023)\n* [NOLA: Networks as Linear Combination of Low Rank Random Basis](https://huggingface.co/papers/2310.02556) (2023)\n* [Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing](https://huggingface.co/papers/2310.06234) (2023)\n* [PELA: Learning Parameter-Efficient Models with Low-Rank Approximation](https://huggingface.co/papers/2310.10700) (2023)\n* [LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models](https://huggingface.co/papers/2310.08659) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.10751", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [AutoAgents: A Framework for Automatic Agent Generation](https://huggingface.co/papers/2309.17288) (2023)\n* [Work State-Centric AI Agents: Design, Implementation, and Management of Cognitive Work Threads](https://huggingface.co/papers/2311.09576) (2023)\n* [AgentTuning: Enabling Generalized Agent Abilities for LLMs](https://huggingface.co/papers/2310.12823) (2023)\n* [Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization](https://huggingface.co/papers/2310.02170) (2023)\n* [Interactive Task Planning with Language Models](https://huggingface.co/papers/2310.10645) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.10768", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Adaptive Gating in Mixture-of-Experts based Language Models](https://huggingface.co/papers/2310.07188) (2023)\n* [Merging Experts into One: Improving Computational Efficiency of Mixture of Experts](https://huggingface.co/papers/2310.09832) (2023)\n* [Retrieval-Generation Synergy Augmented Large Language Models](https://huggingface.co/papers/2310.05149) (2023)\n* [SiRA: Sparse Mixture of Low Rank Adaptation](https://huggingface.co/papers/2311.09179) (2023)\n* [ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models](https://huggingface.co/papers/2310.04564) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.10770", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models](https://huggingface.co/papers/2310.04564) (2023)\n* [Towards End-to-end 4-Bit Inference on Generative Large Language Models](https://huggingface.co/papers/2310.09259) (2023)\n* [Approximating Two-Layer Feedforward Networks for Efficient Transformers](https://huggingface.co/papers/2310.10837) (2023)\n* [Sparse Fine-tuning for Inference Acceleration of Large Language Models](https://huggingface.co/papers/2310.06927) (2023)\n* [Efficient LLM Inference on CPUs](https://huggingface.co/papers/2311.00502) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.10775", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use](https://huggingface.co/papers/2310.03128) (2023)\n* [Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding](https://huggingface.co/papers/2310.07075) (2023)\n* [Interpreting User Requests in the Context of Natural Language Standing Instructions](https://huggingface.co/papers/2311.09796) (2023)\n* [PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion](https://huggingface.co/papers/2311.01767) (2023)\n* [Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning](https://huggingface.co/papers/2310.04474) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.10794", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack](https://huggingface.co/papers/2309.15807) (2023)\n* [ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors](https://huggingface.co/papers/2311.05463) (2023)\n* [Kosmos-G: Generating Images in Context with Multimodal Large Language Models](https://huggingface.co/papers/2310.02992) (2023)\n* [BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis](https://huggingface.co/papers/2311.06752) (2023)\n* [NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation](https://huggingface.co/papers/2311.12229) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.10982", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation](https://huggingface.co/papers/2310.10769) (2023)\n* [SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction](https://huggingface.co/papers/2310.20700) (2023)\n* [Consistent Video-to-Video Transfer Using Synthetic Dataset](https://huggingface.co/papers/2311.00213) (2023)\n* [MoVideo: Motion-Aware Video Generation with Diffusion Models](https://huggingface.co/papers/2311.11325) (2023)\n* [LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models](https://huggingface.co/papers/2309.15103) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.11045", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Democratizing Reasoning Ability: Tailored Learning from Large Language Model](https://huggingface.co/papers/2310.13332) (2023)\n* [Test-Time Self-Adaptive Small Language Models for Question Answering](https://huggingface.co/papers/2310.13307) (2023)\n* [Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs](https://huggingface.co/papers/2310.13961) (2023)\n* [MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning](https://huggingface.co/papers/2310.16049) (2023)\n* [Teaching Language Models to Self-Improve through Interactive Demonstrations](https://huggingface.co/papers/2310.13522) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.11077", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling](https://huggingface.co/papers/2310.12100) (2023)\n* [ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale](https://huggingface.co/papers/2310.01217) (2023)\n* [Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning](https://huggingface.co/papers/2310.11670) (2023)\n* [BLIP-Adapter: Parameter-Efficient Transfer Learning for Mobile Screenshot Captioning](https://huggingface.co/papers/2309.14774) (2023)\n* [Audio-AdapterFusion: A Task-ID-free Approach for Efficient and Non-Destructive Multi-task Speech Recognition](https://huggingface.co/papers/2310.13015) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.11243", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts](https://huggingface.co/papers/2310.10640) (2023)\n* [VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning](https://huggingface.co/papers/2309.15091) (2023)\n* [TOSS: High-quality Text-guided Novel View Synthesis from a Single Image](https://huggingface.co/papers/2310.10644) (2023)\n* [The Chosen One: Consistent Characters in Text-to-Image Diffusion Models](https://huggingface.co/papers/2311.10093) (2023)\n* [Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints](https://huggingface.co/papers/2310.03602) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2311.11255.json b/data/2311.11255.json
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+{"paper_url": "https://huggingface.co/papers/2311.11255", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models](https://huggingface.co/papers/2311.04589) (2023)\n* [AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model](https://huggingface.co/papers/2309.16058) (2023)\n* [How to Bridge the Gap between Modalities: A Comprehensive Survey on Multimodal Large Language Model](https://huggingface.co/papers/2311.07594) (2023)\n* [Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding](https://huggingface.co/papers/2311.08046) (2023)\n* [LLark: A Multimodal Foundation Model for Music](https://huggingface.co/papers/2310.07160) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2311.11284", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation](https://huggingface.co/papers/2310.09458) (2023)\n* [Text-to-3D with Classifier Score Distillation](https://huggingface.co/papers/2310.19415) (2023)\n* [Control3D: Towards Controllable Text-to-3D Generation](https://huggingface.co/papers/2311.05461) (2023)\n* [HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation](https://huggingface.co/papers/2310.01406) (2023)\n* [IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts](https://huggingface.co/papers/2310.05375) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.11315", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use](https://huggingface.co/papers/2310.03128) (2023)\n* [ControlLLM: Augment Language Models with Tools by Searching on Graphs](https://huggingface.co/papers/2310.17796) (2023)\n* [AgentTuning: Enabling Generalized Agent Abilities for LLMs](https://huggingface.co/papers/2310.12823) (2023)\n* [PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion](https://huggingface.co/papers/2311.01767) (2023)\n* [Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task](https://huggingface.co/papers/2310.06504) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.11501", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Orthogonal Subspace Learning for Language Model Continual Learning](https://huggingface.co/papers/2310.14152) (2023)\n* [LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models](https://huggingface.co/papers/2310.08659) (2023)\n* [Decomposed Prompt Tuning via Low-Rank Reparameterization](https://huggingface.co/papers/2310.10094) (2023)\n* [Tied-Lora: Enhacing parameter efficiency of LoRA with weight tying](https://huggingface.co/papers/2311.09578) (2023)\n* [Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning](https://huggingface.co/papers/2310.11670) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.11829", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Attention Sorting Combats Recency Bias In Long Context Language Models](https://huggingface.co/papers/2310.01427) (2023)\n* [Auto-ICL: In-Context Learning without Human Supervision](https://huggingface.co/papers/2311.09263) (2023)\n* [Superiority of Softmax: Unveiling the Performance Edge Over Linear Attention](https://huggingface.co/papers/2310.11685) (2023)\n* [Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism](https://huggingface.co/papers/2310.16270) (2023)\n* [Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs](https://huggingface.co/papers/2311.02262) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.12015", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMs](https://huggingface.co/papers/2311.02847) (2023)\n* [Interactive Task Planning with Language Models](https://huggingface.co/papers/2310.10645) (2023)\n* [CoPAL: Corrective Planning of Robot Actions with Large Language Models](https://huggingface.co/papers/2310.07263) (2023)\n* [Lifelong Robot Learning with Human Assisted Language Planners](https://huggingface.co/papers/2309.14321) (2023)\n* [Language Models as Zero-Shot Trajectory Generators](https://huggingface.co/papers/2310.11604) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.12022", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Debate Helps Supervise Unreliable Experts](https://huggingface.co/papers/2311.08702) (2023)\n* [NuclearQA: A Human-Made Benchmark for Language Models for the Nuclear Domain](https://huggingface.co/papers/2310.10920) (2023)\n* [Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks](https://huggingface.co/papers/2311.09825) (2023)\n* [GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions](https://huggingface.co/papers/2310.15405) (2023)\n* [Critique Ability of Large Language Models](https://huggingface.co/papers/2310.04815) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.12024", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LEAP: Liberate Sparse-view 3D Modeling from Camera Poses](https://huggingface.co/papers/2310.01410) (2023)\n* [LRM: Large Reconstruction Model for Single Image to 3D](https://huggingface.co/papers/2311.04400) (2023)\n* [DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model](https://huggingface.co/papers/2311.09217) (2023)\n* [MFOS: Model-Free & One-Shot Object Pose Estimation](https://huggingface.co/papers/2310.01897) (2023)\n* [3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation](https://huggingface.co/papers/2310.03534) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.12052", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Make Pixels Dance: High-Dynamic Video Generation](https://huggingface.co/papers/2311.10982) (2023)\n* [DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion Models](https://huggingface.co/papers/2310.00434) (2023)\n* [AdaMesh: Personalized Facial Expressions and Head Poses for Speech-Driven 3D Facial Animation](https://huggingface.co/papers/2310.07236) (2023)\n* [Realistic Speech-to-Face Generation with Speech-Conditioned Latent Diffusion Model with Face Prior](https://huggingface.co/papers/2310.03363) (2023)\n* [LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation](https://huggingface.co/papers/2310.10769) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.12092", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing](https://huggingface.co/papers/2310.08785) (2023)\n* [Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else](https://huggingface.co/papers/2310.07419) (2023)\n* [ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors](https://huggingface.co/papers/2311.05463) (2023)\n* [LOVECon: Text-driven Training-Free Long Video Editing with ControlNet](https://huggingface.co/papers/2310.09711) (2023)\n* [Localizing and Editing Knowledge in Text-to-Image Generative Models](https://huggingface.co/papers/2310.13730) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.12198", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting](https://huggingface.co/papers/2310.10642) (2023)\n* [Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulation](https://huggingface.co/papers/2310.05391) (2023)\n* [Neural Stress Fields for Reduced-order Elastoplasticity and Fracture](https://huggingface.co/papers/2310.17790) (2023)\n* [SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos](https://huggingface.co/papers/2311.10812) (2023)\n* [SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering](https://huggingface.co/papers/2311.12775) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.12229", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis](https://huggingface.co/papers/2311.06752) (2023)\n* [Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting](https://huggingface.co/papers/2310.08129) (2023)\n* [Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack](https://huggingface.co/papers/2309.15807) (2023)\n* [Improving Compositional Text-to-image Generation with Large Vision-Language Models](https://huggingface.co/papers/2310.06311) (2023)\n* [Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression](https://huggingface.co/papers/2311.10794) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.12454", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation](https://huggingface.co/papers/2311.07965) (2023)\n* [High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion Models](https://huggingface.co/papers/2309.15512) (2023)\n* [Vec-Tok Speech: speech vectorization and tokenization for neural speech generation](https://huggingface.co/papers/2310.07246) (2023)\n* [PromptSpeaker: Speaker Generation Based on Text Descriptions](https://huggingface.co/papers/2310.05001) (2023)\n* [Face-StyleSpeech: Improved Face-to-Voice latent mapping for Natural Zero-shot Speech Synthesis from a Face Image](https://huggingface.co/papers/2311.05844) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.12631", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation](https://huggingface.co/papers/2310.10769) (2023)\n* [Make Pixels Dance: High-Dynamic Video Generation](https://huggingface.co/papers/2311.10982) (2023)\n* [Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator](https://huggingface.co/papers/2309.14494) (2023)\n* [LLM-grounded Video Diffusion Models](https://huggingface.co/papers/2309.17444) (2023)\n* [LOVECon: Text-driven Training-Free Long Video Editing with ControlNet](https://huggingface.co/papers/2310.09711) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.12775", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction on Mobile Devices](https://huggingface.co/papers/2311.09806) (2023)\n* [Adaptive Shells for Efficient Neural Radiance Field Rendering](https://huggingface.co/papers/2311.10091) (2023)\n* [GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting](https://huggingface.co/papers/2311.11700) (2023)\n* [Geometry-Guided Ray Augmentation for Neural Surface Reconstruction with Sparse Views](https://huggingface.co/papers/2310.05483) (2023)\n* [Ghost on the Shell: An Expressive Representation of General 3D Shapes](https://huggingface.co/papers/2310.15168) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.12908", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model](https://huggingface.co/papers/2311.13231) (2023)\n* [Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression](https://huggingface.co/papers/2311.10794) (2023)\n* [Enhancing Diffusion Models with Text-Encoder Reinforcement Learning](https://huggingface.co/papers/2311.15657) (2023)\n* [SuperHF: Supervised Iterative Learning from Human Feedback](https://huggingface.co/papers/2310.16763) (2023)\n* [BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis](https://huggingface.co/papers/2311.06752) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.12983", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [GPQA: A Graduate-Level Google-Proof Q&A Benchmark](https://huggingface.co/papers/2311.12022) (2023)\n* [MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI](https://huggingface.co/papers/2311.16502) (2023)\n* [Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes](https://huggingface.co/papers/2311.18452) (2023)\n* [TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs](https://huggingface.co/papers/2311.05374) (2023)\n* [Evaluating General-Purpose AI with Psychometrics](https://huggingface.co/papers/2310.16379) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+++ b/data/2311.13073.json
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+{"paper_url": "https://huggingface.co/papers/2311.13073", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MoVideo: Motion-Aware Video Generation with Diffusion Models](https://huggingface.co/papers/2311.11325) (2023)\n* [LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation](https://huggingface.co/papers/2310.10769) (2023)\n* [VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models](https://huggingface.co/papers/2312.00845) (2023)\n* [Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://huggingface.co/papers/2311.17117) (2023)\n* [VideoCrafter1: Open Diffusion Models for High-Quality Video Generation](https://huggingface.co/papers/2310.19512) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.13141", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models](https://huggingface.co/papers/2310.18840) (2023)\n* [DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation](https://huggingface.co/papers/2310.13119) (2023)\n* [Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model](https://huggingface.co/papers/2310.15110) (2023)\n* [Paragraph-to-Image Generation with Information-Enriched Diffusion Model](https://huggingface.co/papers/2311.14284) (2023)\n* [Text-Guided Texturing by Synchronized Multi-View Diffusion](https://huggingface.co/papers/2311.12891) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.13231", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Diffusion Model Alignment Using Direct Preference Optimization](https://huggingface.co/papers/2311.12908) (2023)\n* [Enhancing Diffusion Models with Text-Encoder Reinforcement Learning](https://huggingface.co/papers/2311.15657) (2023)\n* [Safe RLHF: Safe Reinforcement Learning from Human Feedback](https://huggingface.co/papers/2310.12773) (2023)\n* [COPF: Continual Learning Human Preference through Optimal Policy Fitting](https://huggingface.co/papers/2310.15694) (2023)\n* [SuperHF: Supervised Iterative Learning from Human Feedback](https://huggingface.co/papers/2310.16763) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.13384", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images](https://huggingface.co/papers/2311.13398) (2023)\n* [iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis](https://huggingface.co/papers/2310.16167) (2023)\n* [DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields](https://huggingface.co/papers/2311.12063) (2023)\n* [PERF: Panoramic Neural Radiance Field from a Single Panorama](https://huggingface.co/papers/2310.16831) (2023)\n* [Control3D: Towards Controllable Text-to-3D Generation](https://huggingface.co/papers/2311.05461) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2311.13435.json b/data/2311.13435.json
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+++ b/data/2311.13435.json
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+{"paper_url": "https://huggingface.co/papers/2311.13435", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [VTimeLLM: Empower LLM to Grasp Video Moments](https://huggingface.co/papers/2311.18445) (2023)\n* [VLM-Eval: A General Evaluation on Video Large Language Models](https://huggingface.co/papers/2311.11865) (2023)\n* [Vamos: Versatile Action Models for Video Understanding](https://huggingface.co/papers/2311.13627) (2023)\n* [Video-LLaVA: Learning United Visual Representation by Alignment Before Projection](https://huggingface.co/papers/2311.10122) (2023)\n* [Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models](https://huggingface.co/papers/2311.16103) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+++ b/data/2311.13600.json
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+{"paper_url": "https://huggingface.co/papers/2311.13600", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Style Aligned Image Generation via Shared Attention](https://huggingface.co/papers/2312.02133) (2023)\n* [ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation](https://huggingface.co/papers/2312.02109) (2023)\n* [StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter](https://huggingface.co/papers/2312.00330) (2023)\n* [LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning](https://huggingface.co/papers/2311.12023) (2023)\n* [Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression](https://huggingface.co/papers/2311.10794) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2311.13601", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Aligning and Prompting Everything All at Once for Universal Visual Perception](https://huggingface.co/papers/2312.02153) (2023)\n* [SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation](https://huggingface.co/papers/2311.14671) (2023)\n* [Towards Generalizable Referring Image Segmentation via Target Prompt and Visual Coherence](https://huggingface.co/papers/2312.00452) (2023)\n* [Towards Training-free Open-world Segmentation via Image Prompting Foundation Models](https://huggingface.co/papers/2310.10912) (2023)\n* [Segment and Caption Anything](https://huggingface.co/papers/2312.00869) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00063", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis](https://huggingface.co/papers/2311.16471) (2023)\n* [HumanTOMATO: Text-aligned Whole-body Motion Generation](https://huggingface.co/papers/2310.12978) (2023)\n* [TLControl: Trajectory and Language Control for Human Motion Synthesis](https://huggingface.co/papers/2311.17135) (2023)\n* [OmniMotionGPT: Animal Motion Generation with Limited Data](https://huggingface.co/papers/2311.18303) (2023)\n* [SemanticBoost: Elevating Motion Generation with Augmented Textual Cues](https://huggingface.co/papers/2310.20323) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00079", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [High-fidelity Person-centric Subject-to-Image Synthesis](https://huggingface.co/papers/2311.10329) (2023)\n* [VideoBooth: Diffusion-based Video Generation with Image Prompts](https://huggingface.co/papers/2312.00777) (2023)\n* [Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training](https://huggingface.co/papers/2312.01663) (2023)\n* [HiFi-123: Towards High-fidelity One Image to 3D Content Generation](https://huggingface.co/papers/2310.06744) (2023)\n* [Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else](https://huggingface.co/papers/2310.07419) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00085", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts](https://huggingface.co/papers/2310.05375) (2023)\n* [MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture](https://huggingface.co/papers/2311.10123) (2023)\n* [RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D](https://huggingface.co/papers/2311.16918) (2023)\n* [Text-Guided 3D Face Synthesis -- From Generation to Editing](https://huggingface.co/papers/2312.00375) (2023)\n* [ControlDreamer: Stylized 3D Generation with Multi-View ControlNet](https://huggingface.co/papers/2312.01129) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00093", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting](https://huggingface.co/papers/2311.17907) (2023)\n* [A Unified Approach for Text- and Image-guided 4D Scene Generation](https://huggingface.co/papers/2311.16854) (2023)\n* [4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling](https://huggingface.co/papers/2311.17984) (2023)\n* [Control3D: Towards Controllable Text-to-3D Generation](https://huggingface.co/papers/2311.05461) (2023)\n* [LucidDreaming: Controllable Object-Centric 3D Generation](https://huggingface.co/papers/2312.00588) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00109", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [4D Gaussian Splatting for Real-Time Dynamic Scene Rendering](https://huggingface.co/papers/2310.08528) (2023)\n* [LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS](https://huggingface.co/papers/2311.17245) (2023)\n* [GS-IR: 3D Gaussian Splatting for Inverse Rendering](https://huggingface.co/papers/2311.16473) (2023)\n* [Compact 3D Gaussian Representation for Radiance Field](https://huggingface.co/papers/2311.13681) (2023)\n* [An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes](https://huggingface.co/papers/2311.12897) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00164", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Accuracy of a Vision-Language Model on Challenging Medical Cases](https://huggingface.co/papers/2311.05591) (2023)\n* [Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review](https://huggingface.co/papers/2311.01918) (2023)\n* [Overview of Current Applications of Large Language Models in Various Medical Specialities](https://huggingface.co/papers/2311.12882) (2023)\n* [A Survey of Large Language Models in Medicine: Progress, Application, and Challenge](https://huggingface.co/papers/2311.05112) (2023)\n* [Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models](https://huggingface.co/papers/2310.11266) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00210", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach](https://huggingface.co/papers/2310.12004) (2023)\n* [CoSeR: Bridging Image and Language for Cognitive Super-Resolution](https://huggingface.co/papers/2311.16512) (2023)\n* [Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution](https://huggingface.co/papers/2312.00853) (2023)\n* [EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution](https://huggingface.co/papers/2310.19288) (2023)\n* [DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution](https://huggingface.co/papers/2311.18508) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00252", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields](https://huggingface.co/papers/2311.12490) (2023)\n* [Anisotropic Neural Representation Learning for High-Quality Neural Rendering](https://huggingface.co/papers/2311.18311) (2023)\n* [UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene](https://huggingface.co/papers/2310.13263) (2023)\n* [Adaptive Shells for Efficient Neural Radiance Field Rendering](https://huggingface.co/papers/2311.10091) (2023)\n* [LightSpeed: Light and Fast Neural Light Fields on Mobile Devices](https://huggingface.co/papers/2310.16832) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00330", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation](https://huggingface.co/papers/2312.02109) (2023)\n* [ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors](https://huggingface.co/papers/2311.05463) (2023)\n* [Style Aligned Image Generation via Shared Attention](https://huggingface.co/papers/2312.02133) (2023)\n* [InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser](https://huggingface.co/papers/2311.15040) (2023)\n* [DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors](https://huggingface.co/papers/2310.12190) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00375", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts](https://huggingface.co/papers/2310.05375) (2023)\n* [PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation](https://huggingface.co/papers/2310.09458) (2023)\n* [ControlDreamer: Stylized 3D Generation with Multi-View ControlNet](https://huggingface.co/papers/2312.01129) (2023)\n* [SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors](https://huggingface.co/papers/2311.17261) (2023)\n* [Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training](https://huggingface.co/papers/2312.01663) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00438", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Vision Language Models in Autonomous Driving and Intelligent Transportation Systems](https://huggingface.co/papers/2310.14414) (2023)\n* [A Survey on Multimodal Large Language Models for Autonomous Driving](https://huggingface.co/papers/2311.12320) (2023)\n* [LLM4Drive: A Survey of Large Language Models for Autonomous Driving](https://huggingface.co/papers/2311.01043) (2023)\n* [A Language Agent for Autonomous Driving](https://huggingface.co/papers/2311.10813) (2023)\n* [Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles](https://huggingface.co/papers/2310.08034) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00451", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS](https://huggingface.co/papers/2311.17245) (2023)\n* [SparseGS: Real-Time 360{\\deg} Sparse View Synthesis using Gaussian Splatting](https://huggingface.co/papers/2312.00206) (2023)\n* [An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes](https://huggingface.co/papers/2311.12897) (2023)\n* [GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis](https://huggingface.co/papers/2312.02155) (2023)\n* [Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images](https://huggingface.co/papers/2311.13398) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00575", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Divergences between Language Models and Human Brains](https://huggingface.co/papers/2311.09308) (2023)\n* [Roles of Scaling and Instruction Tuning in Language Perception: Model vs. Human Attention](https://huggingface.co/papers/2310.19084) (2023)\n* [TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models](https://huggingface.co/papers/2310.06762) (2023)\n* [Visual Grounding Helps Learn Word Meanings in Low-Data Regimes](https://huggingface.co/papers/2310.13257) (2023)\n* [The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning](https://huggingface.co/papers/2312.01552) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00589", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning](https://huggingface.co/papers/2311.18799) (2023)\n* [u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model](https://huggingface.co/papers/2311.05348) (2023)\n* [VIM: Probing Multimodal Large Language Models for Visual Embedded Instruction Following](https://huggingface.co/papers/2311.17647) (2023)\n* [InfMLLM: A Unified Framework for Visual-Language Tasks](https://huggingface.co/papers/2311.06791) (2023)\n* [Vamos: Versatile Action Models for Video Understanding](https://huggingface.co/papers/2311.13627) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00738", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Assessing Translation capabilities of Large Language Models involving English and Indian Languages](https://huggingface.co/papers/2311.09216) (2023)\n* [How good are Large Language Models on African Languages?](https://huggingface.co/papers/2311.07978) (2023)\n* [Conversations in Galician: a Large Language Model for an Underrepresented Language](https://huggingface.co/papers/2311.03812) (2023)\n* [Tamil-Llama: A New Tamil Language Model Based on Llama 2](https://huggingface.co/papers/2311.05845) (2023)\n* [PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning](https://huggingface.co/papers/2311.08711) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00752", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture](https://huggingface.co/papers/2310.12109) (2023)\n* [Hierarchically Gated Recurrent Neural Network for Sequence Modeling](https://huggingface.co/papers/2311.04823) (2023)\n* [Convolutional State Space Models for Long-Range Spatiotemporal Modeling](https://huggingface.co/papers/2310.19694) (2023)\n* [Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions](https://huggingface.co/papers/2310.18780) (2023)\n* [Accelerating Toeplitz Neural Network with Constant-time Inference Complexity](https://huggingface.co/papers/2311.08756) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00763", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [RELIC: Investigating Large Language Model Responses using Self-Consistency](https://huggingface.co/papers/2311.16842) (2023)\n* [Extracting user needs with Chat-GPT for dialogue recommendation](https://huggingface.co/papers/2310.19303) (2023)\n* [ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles](https://huggingface.co/papers/2310.15428) (2023)\n* [Prompt Your Mind: Refine Personalized Text Prompts within Your Mind](https://huggingface.co/papers/2311.05114) (2023)\n* [Eliciting Human Preferences with Language Models](https://huggingface.co/papers/2310.11589) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00777", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning](https://huggingface.co/papers/2311.00990) (2023)\n* [MoVideo: Motion-Aware Video Generation with Diffusion Models](https://huggingface.co/papers/2311.11325) (2023)\n* [VideoAssembler: Identity-Consistent Video Generation with Reference Entities using Diffusion Model](https://huggingface.co/papers/2311.17338) (2023)\n* [LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation](https://huggingface.co/papers/2310.10769) (2023)\n* [Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://huggingface.co/papers/2311.17117) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00845", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MotionDirector: Motion Customization of Text-to-Video Diffusion Models](https://huggingface.co/papers/2310.08465) (2023)\n* [LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation](https://huggingface.co/papers/2310.10769) (2023)\n* [Smooth Video Synthesis with Noise Constraints on Diffusion Models for One-shot Video Tuning](https://huggingface.co/papers/2311.17536) (2023)\n* [Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer](https://huggingface.co/papers/2311.17009) (2023)\n* [DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors](https://huggingface.co/papers/2310.12190) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00849", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization](https://huggingface.co/papers/2311.16839) (2023)\n* [DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback](https://huggingface.co/papers/2311.10081) (2023)\n* [HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data](https://huggingface.co/papers/2311.13614) (2023)\n* [Mitigating Hallucination in Visual Language Models with Visual Supervision](https://huggingface.co/papers/2311.16479) (2023)\n* [Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites](https://huggingface.co/papers/2312.01701) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00858", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models](https://huggingface.co/papers/2311.16503) (2023)\n* [Diffusion Models Without Attention](https://huggingface.co/papers/2311.18257) (2023)\n* [Effective Quantization for Diffusion Models on CPUs](https://huggingface.co/papers/2311.16133) (2023)\n* [AdaDiff: Adaptive Step Selection for Fast Diffusion](https://huggingface.co/papers/2311.14768) (2023)\n* [UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs](https://huggingface.co/papers/2311.09257) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00860", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Gaussian Grouping: Segment and Edit Anything in 3D Scenes](https://huggingface.co/papers/2312.00732) (2023)\n* [OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning](https://huggingface.co/papers/2311.11666) (2023)\n* [Point'n Move: Interactive Scene Object Manipulation on Gaussian Splatting Radiance Fields](https://huggingface.co/papers/2311.16737) (2023)\n* [SANeRF-HQ: Segment Anything for NeRF in High Quality](https://huggingface.co/papers/2312.01531) (2023)\n* [Obj-NeRF: Extract Object NeRFs from Multi-view Images](https://huggingface.co/papers/2311.15291) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00869", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [PerceptionGPT: Effectively Fusing Visual Perception into LLM](https://huggingface.co/papers/2311.06612) (2023)\n* [Visual In-Context Prompting](https://huggingface.co/papers/2311.13601) (2023)\n* [SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models](https://huggingface.co/papers/2311.07575) (2023)\n* [EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension](https://huggingface.co/papers/2311.15879) (2023)\n* [Efficient Pre-training for Localized Instruction Generation of Videos](https://huggingface.co/papers/2311.15964) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.00886", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning](https://huggingface.co/papers/2310.15145) (2023)\n* [Privately Aligning Language Models with Reinforcement Learning](https://huggingface.co/papers/2310.16960) (2023)\n* [COPF: Continual Learning Human Preference through Optimal Policy Fitting](https://huggingface.co/papers/2310.15694) (2023)\n* [SALMON: Self-Alignment with Principle-Following Reward Models](https://huggingface.co/papers/2310.05910) (2023)\n* [Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model](https://huggingface.co/papers/2311.13231) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.01279", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Fine-Tuning LLaMA for Multi-Stage Text Retrieval](https://huggingface.co/papers/2310.08319) (2023)\n* [LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression](https://huggingface.co/papers/2310.06839) (2023)\n* [Adapting Pre-trained Generative Models for Extractive Question Answering](https://huggingface.co/papers/2311.02961) (2023)\n* [Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning](https://huggingface.co/papers/2311.07099) (2023)\n* [REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization](https://huggingface.co/papers/2310.14418) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.01407", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene](https://huggingface.co/papers/2310.13263) (2023)\n* [4D Gaussian Splatting for Real-Time Dynamic Scene Rendering](https://huggingface.co/papers/2310.08528) (2023)\n* [LightSpeed: Light and Fast Neural Light Fields on Mobile Devices](https://huggingface.co/papers/2310.16832) (2023)\n* [EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction on Mobile Devices](https://huggingface.co/papers/2311.09806) (2023)\n* [Real-Time Neural Rasterization for Large Scenes](https://huggingface.co/papers/2311.05607) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.01409", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://huggingface.co/papers/2311.17117) (2023)\n* [SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors](https://huggingface.co/papers/2311.17261) (2023)\n* [A Unified Approach for Text- and Image-guided 4D Scene Generation](https://huggingface.co/papers/2311.16854) (2023)\n* [Text-Guided 3D Face Synthesis -- From Generation to Editing](https://huggingface.co/papers/2312.00375) (2023)\n* [MotionEditor: Editing Video Motion via Content-Aware Diffusion](https://huggingface.co/papers/2311.18830) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.01531", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Open-NeRF: Towards Open Vocabulary NeRF Decomposition](https://huggingface.co/papers/2310.16383) (2023)\n* [Obj-NeRF: Extract Object NeRFs from Multi-view Images](https://huggingface.co/papers/2311.15291) (2023)\n* [GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding](https://huggingface.co/papers/2311.11863) (2023)\n* [GNeSF: Generalizable Neural Semantic Fields](https://huggingface.co/papers/2310.15712) (2023)\n* [CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering](https://huggingface.co/papers/2311.15510) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.01532", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.01552", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Black-Box Prompt Optimization: Aligning Large Language Models without Model Training](https://huggingface.co/papers/2311.04155) (2023)\n* [Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis](https://huggingface.co/papers/2310.10477) (2023)\n* [Zephyr: Direct Distillation of LM Alignment](https://huggingface.co/papers/2310.16944) (2023)\n* [CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment](https://huggingface.co/papers/2310.16271) (2023)\n* [ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?](https://huggingface.co/papers/2311.16989) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.01663", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Text-Guided 3D Face Synthesis -- From Generation to Editing](https://huggingface.co/papers/2312.00375) (2023)\n* [ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context](https://huggingface.co/papers/2310.09965) (2023)\n* [A Unified Approach for Text- and Image-guided 4D Scene Generation](https://huggingface.co/papers/2311.16854) (2023)\n* [Cut-and-Paste: Subject-Driven Video Editing with Attention Control](https://huggingface.co/papers/2311.11697) (2023)\n* [Control3D: Towards Controllable Text-to-3D Generation](https://huggingface.co/papers/2311.05461) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2312.02087", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MotionEditor: Editing Video Motion via Content-Aware Diffusion](https://huggingface.co/papers/2311.18830) (2023)\n* [FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing](https://huggingface.co/papers/2310.05922) (2023)\n* [DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing](https://huggingface.co/papers/2310.10624) (2023)\n* [Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer](https://huggingface.co/papers/2311.17009) (2023)\n* [Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://huggingface.co/papers/2311.17117) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.02116", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Language Model Beats Diffusion - Tokenizer is Key to Visual Generation](https://huggingface.co/papers/2310.05737) (2023)\n* [Do text-free diffusion models learn discriminative visual representations?](https://huggingface.co/papers/2311.17921) (2023)\n* [E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer](https://huggingface.co/papers/2311.17267) (2023)\n* [General Point Model with Autoencoding and Autoregressive](https://huggingface.co/papers/2310.16861) (2023)\n* [Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation](https://huggingface.co/papers/2311.16201) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.02120", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [InstructCoder: Empowering Language Models for Code Editing](https://huggingface.co/papers/2310.20329) (2023)\n* [LLM-Assisted Code Cleaning For Training Accurate Code Generators](https://huggingface.co/papers/2311.14904) (2023)\n* [Nova+: Generative Language Models for Binaries](https://huggingface.co/papers/2311.13721) (2023)\n* [Neural Rankers for Code Generation via Inter-Cluster Modeling](https://huggingface.co/papers/2311.03366) (2023)\n* [The Program Testing Ability of Large Language Models for Code](https://huggingface.co/papers/2310.05727) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.02133", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter](https://huggingface.co/papers/2312.00330) (2023)\n* [InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser](https://huggingface.co/papers/2311.15040) (2023)\n* [Text-Driven Image Editing via Learnable Regions](https://huggingface.co/papers/2311.16432) (2023)\n* [ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors](https://huggingface.co/papers/2311.05463) (2023)\n* [ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation](https://huggingface.co/papers/2312.02109) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+++ b/data/2312.02135.json
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+{"paper_url": "https://huggingface.co/papers/2312.02135", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Point-DynRF: Point-based Dynamic Radiance Fields from a Monocular Video](https://huggingface.co/papers/2310.09647) (2023)\n* [4K4D: Real-Time 4D View Synthesis at 4K Resolution](https://huggingface.co/papers/2310.11448) (2023)\n* [An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes](https://huggingface.co/papers/2311.12897) (2023)\n* [Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes](https://huggingface.co/papers/2310.08585) (2023)\n* [FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting](https://huggingface.co/papers/2312.00451) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.02139", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Diffusion Models Without Attention](https://huggingface.co/papers/2311.18257) (2023)\n* [Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers](https://huggingface.co/papers/2310.05400) (2023)\n* [Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling](https://huggingface.co/papers/2310.06389) (2023)\n* [SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network](https://huggingface.co/papers/2312.01999) (2023)\n* [Do text-free diffusion models learn discriminative visual representations?](https://huggingface.co/papers/2311.17921) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.02142", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Segment and Caption Anything](https://huggingface.co/papers/2312.00869) (2023)\n* [Align before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action Recognition](https://huggingface.co/papers/2311.15619) (2023)\n* [Grounding Everything: Emerging Localization Properties in Vision-Language Transformers](https://huggingface.co/papers/2312.00878) (2023)\n* [Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation](https://huggingface.co/papers/2311.16201) (2023)\n* [Vamos: Versatile Action Models for Video Understanding](https://huggingface.co/papers/2311.13627) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.02147", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything](https://huggingface.co/papers/2312.00863) (2023)\n* [SpectralGPT: Spectral Foundation Model](https://huggingface.co/papers/2311.07113) (2023)\n* [Improve Supervised Representation Learning with Masked Image Modeling](https://huggingface.co/papers/2312.00950) (2023)\n* [SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference](https://huggingface.co/papers/2312.01597) (2023)\n* [Longer-range Contextualized Masked Autoencoder](https://huggingface.co/papers/2310.13593) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.02149", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models](https://huggingface.co/papers/2310.13772) (2023)\n* [Style Aligned Image Generation via Shared Attention](https://huggingface.co/papers/2312.02133) (2023)\n* [A Unified Approach for Text- and Image-guided 4D Scene Generation](https://huggingface.co/papers/2311.16854) (2023)\n* [LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts](https://huggingface.co/papers/2310.10640) (2023)\n* [ElasticDiffusion: Training-free Arbitrary Size Image Generation](https://huggingface.co/papers/2311.18822) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.02155", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting](https://huggingface.co/papers/2312.00451) (2023)\n* [4D Gaussian Splatting for Real-Time Dynamic Scene Rendering](https://huggingface.co/papers/2310.08528) (2023)\n* [An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes](https://huggingface.co/papers/2311.12897) (2023)\n* [4K4D: Real-Time 4D View Synthesis at 4K Resolution](https://huggingface.co/papers/2310.11448) (2023)\n* [GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting](https://huggingface.co/papers/2311.11700) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.08578", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation](https://huggingface.co/papers/2310.16656) (2023)\n* [ShareGPT4V: Improving Large Multi-Modal Models with Better Captions](https://huggingface.co/papers/2311.12793) (2023)\n* [Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment](https://huggingface.co/papers/2312.03766) (2023)\n* [Compress&Align: Curating Image-Text Data with Human Knowledge](https://huggingface.co/papers/2312.06726) (2023)\n* [CapsFusion: Rethinking Image-Text Data at Scale](https://huggingface.co/papers/2310.20550) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.08583", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LLM-FP4: 4-Bit Floating-Point Quantized Transformers](https://huggingface.co/papers/2310.16836) (2023)\n* [Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization](https://huggingface.co/papers/2311.05161) (2023)\n* [AFPQ: Asymmetric Floating Point Quantization for LLMs](https://huggingface.co/papers/2311.01792) (2023)\n* [Post-Training Quantization with Low-precision Minifloats and Integers on FPGAs](https://huggingface.co/papers/2311.12359) (2023)\n* [CBQ: Cross-Block Quantization for Large Language Models](https://huggingface.co/papers/2312.07950) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.08618", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Extending Context Window of Large Language Models via Semantic Compression](https://huggingface.co/papers/2312.09571) (2023)\n* [SCCA: Shifted Cross Chunk Attention for long contextual semantic expansion](https://huggingface.co/papers/2312.07305) (2023)\n* [CLEX: Continuous Length Extrapolation for Large Language Models](https://huggingface.co/papers/2310.16450) (2023)\n* [Extending Input Contexts of Language Models through Training on Segmented Sequences](https://huggingface.co/papers/2310.14633) (2023)\n* [Linear Attention via Orthogonal Memory](https://huggingface.co/papers/2312.11135) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.08688", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?](https://huggingface.co/papers/2311.16989) (2023)\n* [ChipNeMo: Domain-Adapted LLMs for Chip Design](https://huggingface.co/papers/2311.00176) (2023)\n* [YUAN 2.0: A Large Language Model with Localized Filtering-based Attention](https://huggingface.co/papers/2311.15786) (2023)\n* [Tamil-Llama: A New Tamil Language Model Based on Llama 2](https://huggingface.co/papers/2311.05845) (2023)\n* [LLM360: Towards Fully Transparent Open-Source LLMs](https://huggingface.co/papers/2312.06550) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.08723", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [InstrumentGen: Generating Sample-Based Musical Instruments From Text](https://huggingface.co/papers/2311.04339) (2023)\n* [Musical Form Generation](https://huggingface.co/papers/2310.19842) (2023)\n* [Controllable Music Production with Diffusion Models and Guidance Gradients](https://huggingface.co/papers/2311.00613) (2023)\n* [Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls](https://huggingface.co/papers/2311.12257) (2023)\n* [Content-based Controls For Music Large Language Modeling](https://huggingface.co/papers/2310.17162) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2312.08754", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D](https://huggingface.co/papers/2311.16918) (2023)\n* [ControlDreamer: Stylized 3D Generation with Multi-View ControlNet](https://huggingface.co/papers/2312.01129) (2023)\n* [MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture](https://huggingface.co/papers/2311.10123) (2023)\n* [Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors](https://huggingface.co/papers/2312.04963) (2023)\n* [Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion](https://huggingface.co/papers/2311.15980) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.08889", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Disentangled Clothed Avatar Generation from Text Descriptions](https://huggingface.co/papers/2312.05295) (2023)\n* [AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text](https://huggingface.co/papers/2311.17917) (2023)\n* [GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning](https://huggingface.co/papers/2312.11461) (2023)\n* [Text-Guided 3D Face Synthesis - From Generation to Editing](https://huggingface.co/papers/2312.00375) (2023)\n* [HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion](https://huggingface.co/papers/2311.16961) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.08914", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Large Language Models are Visual Reasoning Coordinators](https://huggingface.co/papers/2310.15166) (2023)\n* [PILL: Plug Into LLM with Adapter Expert and Attention Gate](https://huggingface.co/papers/2311.02126) (2023)\n* [VIM: Probing Multimodal Large Language Models for Visual Embedded Instruction Following](https://huggingface.co/papers/2311.17647) (2023)\n* [InfMLLM: A Unified Framework for Visual-Language Tasks](https://huggingface.co/papers/2311.06791) (2023)\n* [ViLaM: A Vision-Language Model with Enhanced Visual Grounding and Generalization Capability](https://huggingface.co/papers/2311.12327) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.08926", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Language Models can be Logical Solvers](https://huggingface.co/papers/2311.06158) (2023)\n* [Structured Chemistry Reasoning with Large Language Models](https://huggingface.co/papers/2311.09656) (2023)\n* [ADaPT: As-Needed Decomposition and Planning with Language Models](https://huggingface.co/papers/2311.05772) (2023)\n* [From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models](https://huggingface.co/papers/2311.06754) (2023)\n* [Ask One More Time: Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios](https://huggingface.co/papers/2311.08154) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09067", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes](https://huggingface.co/papers/2312.06644) (2023)\n* [ControlRoom3D: Room Generation using Semantic Proxy Rooms](https://huggingface.co/papers/2312.05208) (2023)\n* [Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding](https://huggingface.co/papers/2311.15383) (2023)\n* [LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning](https://huggingface.co/papers/2311.18651) (2023)\n* [M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts](https://huggingface.co/papers/2312.10763) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09109", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models](https://huggingface.co/papers/2312.02813) (2023)\n* [Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models](https://huggingface.co/papers/2310.16400) (2023)\n* [I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models](https://huggingface.co/papers/2311.04145) (2023)\n* [VideoCrafter1: Open Diffusion Models for High-Quality Video Generation](https://huggingface.co/papers/2310.19512) (2023)\n* [Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://huggingface.co/papers/2311.17117) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09158", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks](https://huggingface.co/papers/2311.06242) (2023)\n* [Aligning and Prompting Everything All at Once for Universal Visual Perception](https://huggingface.co/papers/2312.02153) (2023)\n* [Visual In-Context Prompting](https://huggingface.co/papers/2311.13601) (2023)\n* [Towards More Unified In-context Visual Understanding](https://huggingface.co/papers/2312.02520) (2023)\n* [SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding](https://huggingface.co/papers/2310.15308) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09187", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers](https://huggingface.co/papers/2312.08958) (2023)\n* [FoMo Rewards: Can we cast foundation models as reward functions?](https://huggingface.co/papers/2312.03881) (2023)\n* [Large Language Models as Generalizable Policies for Embodied Tasks](https://huggingface.co/papers/2310.17722) (2023)\n* [Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning](https://huggingface.co/papers/2312.04736) (2023)\n* [Reinforcement Learning from Diffusion Feedback: Q* for Image Search](https://huggingface.co/papers/2311.15648) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09222", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Surf-D: High-Quality Surface Generation for Arbitrary Topologies using Diffusion Models](https://huggingface.co/papers/2311.17050) (2023)\n* [MVDD: Multi-View Depth Diffusion Models](https://huggingface.co/papers/2312.04875) (2023)\n* [Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers](https://huggingface.co/papers/2312.09147) (2023)\n* [Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors](https://huggingface.co/papers/2312.04963) (2023)\n* [XCube ($\\mathcal{X}^3$): Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies](https://huggingface.co/papers/2312.03806) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09237", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Segment and Caption Anything](https://huggingface.co/papers/2312.00869) (2023)\n* [ViLaM: A Vision-Language Model with Enhanced Visual Grounding and Generalization Capability](https://huggingface.co/papers/2311.12327) (2023)\n* [Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects](https://huggingface.co/papers/2312.05278) (2023)\n* [Contrastive Vision-Language Alignment Makes Efficient Instruction Learner](https://huggingface.co/papers/2311.17945) (2023)\n* [Tokenize Anything via Prompting](https://huggingface.co/papers/2312.09128) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09241", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Math-Shepherd: A Label-Free Step-by-Step Verifier for LLMs in Mathematical Reasoning](https://huggingface.co/papers/2312.08935) (2023)\n* [Learning From Mistakes Makes LLM Better Reasoner](https://huggingface.co/papers/2310.20689) (2023)\n* [Mixed Distillation Helps Smaller Language Model Better Reasoning](https://huggingface.co/papers/2312.10730) (2023)\n* [LLM-Assisted Code Cleaning For Training Accurate Code Generators](https://huggingface.co/papers/2311.14904) (2023)\n* [Outcome-supervised Verifiers for Planning in Mathematical Reasoning](https://huggingface.co/papers/2311.09724) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09244", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SuperHF: Supervised Iterative Learning from Human Feedback](https://huggingface.co/papers/2310.16763) (2023)\n* [Language Model Alignment with Elastic Reset](https://huggingface.co/papers/2312.07551) (2023)\n* [On Diverse Preferences for Large Language Model Alignment](https://huggingface.co/papers/2312.07401) (2023)\n* [The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback](https://huggingface.co/papers/2311.00168) (2023)\n* [Privately Aligning Language Models with Reinforcement Learning](https://huggingface.co/papers/2310.16960) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09246", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training](https://huggingface.co/papers/2312.01663) (2023)\n* [LatentEditor: Text Driven Local Editing of 3D Scenes](https://huggingface.co/papers/2312.09313) (2023)\n* [SPiC-E : Structural Priors in 3D Diffusion Models using Cross-Entity Attention](https://huggingface.co/papers/2311.17834) (2023)\n* [MaTe3D: Mask-guided Text-based 3D-aware Portrait Editing](https://huggingface.co/papers/2312.06947) (2023)\n* [Efficient-NeRF2NeRF: Streamlining Text-Driven 3D Editing with Multiview Correspondence-Enhanced Diffusion Models](https://huggingface.co/papers/2312.08563) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09251", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation](https://huggingface.co/papers/2311.16201) (2023)\n* [Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects](https://huggingface.co/papers/2312.05278) (2023)\n* [De-Diffusion Makes Text a Strong Cross-Modal Interface](https://huggingface.co/papers/2311.00618) (2023)\n* [Contrastive Vision-Language Alignment Makes Efficient Instruction Learner](https://huggingface.co/papers/2311.17945) (2023)\n* [InfMLLM: A Unified Framework for Visual-Language Tasks](https://huggingface.co/papers/2311.06791) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09252", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition](https://huggingface.co/papers/2312.07536) (2023)\n* [Fine-grained Controllable Video Generation via Object Appearance and Context](https://huggingface.co/papers/2312.02919) (2023)\n* [TokenCompose: Grounding Diffusion with Token-level Supervision](https://huggingface.co/papers/2312.03626) (2023)\n* [Detailed Human-Centric Text Description-Driven Large Scene Synthesis](https://huggingface.co/papers/2311.18654) (2023)\n* [ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNet](https://huggingface.co/papers/2312.03154) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09256", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation](https://huggingface.co/papers/2312.10113) (2023)\n* [HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models](https://huggingface.co/papers/2312.00079) (2023)\n* [MAG-Edit: Localized Image Editing in Complex Scenarios via $\\underline{M}$ask-Based $\\underline{A}$ttention-Adjusted $\\underline{G}$uidance](https://huggingface.co/papers/2312.11396) (2023)\n* [Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing](https://huggingface.co/papers/2311.18608) (2023)\n* [LatentEditor: Text Driven Local Editing of 3D Scenes](https://huggingface.co/papers/2312.09313) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2312.09299.json b/data/2312.09299.json
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+{"paper_url": "https://huggingface.co/papers/2312.09299", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Initializing Models with Larger Ones](https://huggingface.co/papers/2311.18823) (2023)\n* [Transformer as Linear Expansion of Learngene](https://huggingface.co/papers/2312.05614) (2023)\n* [MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters](https://huggingface.co/papers/2311.04251) (2023)\n* [Building Variable-sized Models via Learngene Pool](https://huggingface.co/papers/2312.05743) (2023)\n* [Bootstrapping SparseFormers from Vision Foundation Models](https://huggingface.co/papers/2312.01987) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09300", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Universal Self-Consistency for Large Language Model Generation](https://huggingface.co/papers/2311.17311) (2023)\n* [Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method](https://huggingface.co/papers/2310.17918) (2023)\n* [A Survey of Language Model Confidence Estimation and Calibration](https://huggingface.co/papers/2311.08298) (2023)\n* [Fine-tuning Language Models for Factuality](https://huggingface.co/papers/2311.08401) (2023)\n* [CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation](https://huggingface.co/papers/2311.18702) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2312.09305", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Text-to-3D with Classifier Score Distillation](https://huggingface.co/papers/2310.19415) (2023)\n* [LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching](https://huggingface.co/papers/2311.11284) (2023)\n* [CAD: Photorealistic 3D Generation via Adversarial Distillation](https://huggingface.co/papers/2312.06663) (2023)\n* [Noise-Free Score Distillation](https://huggingface.co/papers/2310.17590) (2023)\n* [HeadArtist: Text-conditioned 3D Head Generation with Self Score Distillation](https://huggingface.co/papers/2312.07539) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09323", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DMLR: Data-centric Machine Learning Research - Past, Present and Future](https://huggingface.co/papers/2311.13028) (2023)\n* [Introduction to Transformers: an NLP Perspective](https://huggingface.co/papers/2311.17633) (2023)\n* [The perpetual motion machine of AI-generated data and the distraction of ChatGPT-as-scientist](https://huggingface.co/papers/2312.00818) (2023)\n* [Interpretability in Machine Learning: on the Interplay with Explainability, Predictive Performances and Models](https://huggingface.co/papers/2311.11491) (2023)\n* [Is Machine Learning Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsidering from Recidivism Prediction Tasks](https://huggingface.co/papers/2311.06537) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09390", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Generalization Analogies: A Testbed for Generalizing AI Oversight to Hard-To-Measure Domains](https://huggingface.co/papers/2311.07723) (2023)\n* [SuperHF: Supervised Iterative Learning from Human Feedback](https://huggingface.co/papers/2310.16763) (2023)\n* [Eliciting Latent Knowledge from Quirky Language Models](https://huggingface.co/papers/2312.01037) (2023)\n* [In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax](https://huggingface.co/papers/2311.07811) (2023)\n* [BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?](https://huggingface.co/papers/2310.16681) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09571", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention](https://huggingface.co/papers/2312.08618) (2023)\n* [CLEX: Continuous Length Extrapolation for Large Language Models](https://huggingface.co/papers/2310.16450) (2023)\n* [TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction](https://huggingface.co/papers/2310.15556) (2023)\n* [SCCA: Shifted Cross Chunk Attention for long contextual semantic expansion](https://huggingface.co/papers/2312.07305) (2023)\n* [Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation](https://huggingface.co/papers/2311.00684) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09579", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [RepViT-SAM: Towards Real-Time Segmenting Anything](https://huggingface.co/papers/2312.05760) (2023)\n* [EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything](https://huggingface.co/papers/2312.00863) (2023)\n* [EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM](https://huggingface.co/papers/2312.06660) (2023)\n* [Tokenize Anything via Prompting](https://huggingface.co/papers/2312.09128) (2023)\n* [AdapterShadow: Adapting Segment Anything Model for Shadow Detection](https://huggingface.co/papers/2311.08891) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09608", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing](https://huggingface.co/papers/2312.11392) (2023)\n* [KOALA: Self-Attention Matters in Knowledge Distillation of Latent Diffusion Models for Memory-Efficient and Fast Image Synthesis](https://huggingface.co/papers/2312.04005) (2023)\n* [AdaDiff: Adaptive Step Selection for Fast Diffusion](https://huggingface.co/papers/2311.14768) (2023)\n* [DeepCache: Accelerating Diffusion Models for Free](https://huggingface.co/papers/2312.00858) (2023)\n* [TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models](https://huggingface.co/papers/2311.16503) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09767", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [GMTalker: Gaussian Mixture based Emotional talking video Portraits](https://huggingface.co/papers/2312.07669) (2023)\n* [FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models](https://huggingface.co/papers/2312.08459) (2023)\n* [GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face Guidance](https://huggingface.co/papers/2312.07385) (2023)\n* [LaughTalk: Expressive 3D Talking Head Generation with Laughter](https://huggingface.co/papers/2311.00994) (2023)\n* [VividTalk: One-Shot Audio-Driven Talking Head Generation Based on 3D Hybrid Prior](https://huggingface.co/papers/2312.01841) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.09911", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer Learning](https://huggingface.co/papers/2311.04313) (2023)\n* [HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis](https://huggingface.co/papers/2311.12454) (2023)\n* [Neural Text to Articulate Talk: Deep Text to Audiovisual Speech Synthesis achieving both Auditory and Photo-realism](https://huggingface.co/papers/2312.06613) (2023)\n* [SELM: Speech Enhancement Using Discrete Tokens and Language Models](https://huggingface.co/papers/2312.09747) (2023)\n* [MM-TTS: Multi-modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesis](https://huggingface.co/papers/2312.10687) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.10003", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [The ART of LLM Refinement: Ask, Refine, and Trust](https://huggingface.co/papers/2311.07961) (2023)\n* [Universal Self-Consistency for Large Language Model Generation](https://huggingface.co/papers/2311.17311) (2023)\n* [Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs](https://huggingface.co/papers/2311.05657) (2023)\n* [Language Model Agents Suffer from Compositional Generalization in Web Automation](https://huggingface.co/papers/2311.18751) (2023)\n* [LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models](https://huggingface.co/papers/2311.18232) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.10007", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources](https://huggingface.co/papers/2311.07589) (2023)\n* [Context-dependent Instruction Tuning for Dialogue Response Generation](https://huggingface.co/papers/2311.07006) (2023)\n* [PRODIGy: a PROfile-based DIalogue Generation dataset](https://huggingface.co/papers/2311.05195) (2023)\n* [CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models](https://huggingface.co/papers/2311.16832) (2023)\n* [Large Language Models can Share Images, Too!](https://huggingface.co/papers/2310.14804) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.10029", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Eliciting Latent Knowledge from Quirky Language Models](https://huggingface.co/papers/2312.01037) (2023)\n* [Localizing Lying in Llama: Understanding Instructed Dishonesty on True-False Questions Through Prompting, Probing, and Patching](https://huggingface.co/papers/2311.15131) (2023)\n* [Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision](https://huggingface.co/papers/2312.09390) (2023)\n* [Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models](https://huggingface.co/papers/2310.16570) (2023)\n* [Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?](https://huggingface.co/papers/2312.03729) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.10034", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields](https://huggingface.co/papers/2311.12490) (2023)\n* [ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields](https://huggingface.co/papers/2312.12122) (2023)\n* [ZeroRF: Fast Sparse View 360{\\deg} Reconstruction with Zero Pretraining](https://huggingface.co/papers/2312.09249) (2023)\n* [Compact 3D Gaussian Representation for Radiance Field](https://huggingface.co/papers/2311.13681) (2023)\n* [PyNeRF: Pyramidal Neural Radiance Fields](https://huggingface.co/papers/2312.00252) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.10035", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding](https://huggingface.co/papers/2312.11112) (2023)\n* [Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost](https://huggingface.co/papers/2312.08614) (2023)\n* [P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic Segmentation](https://huggingface.co/papers/2310.15025) (2023)\n* [FMViT: A multiple-frequency mixing Vision Transformer](https://huggingface.co/papers/2311.05707) (2023)\n* [General Point Model with Autoencoding and Autoregressive](https://huggingface.co/papers/2310.16861) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.10240", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis](https://huggingface.co/papers/2311.06752) (2023)\n* [Compress&Align: Curating Image-Text Data with Human Knowledge](https://huggingface.co/papers/2312.06726) (2023)\n* [Fine-grained Controllable Video Generation via Object Appearance and Context](https://huggingface.co/papers/2312.02919) (2023)\n* [UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models](https://huggingface.co/papers/2312.04884) (2023)\n* [DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback](https://huggingface.co/papers/2311.17946) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.10253", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [How good are Large Language Models on African Languages?](https://huggingface.co/papers/2311.07978) (2023)\n* [MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks](https://huggingface.co/papers/2311.07463) (2023)\n* [Understanding Calibration for Multilingual Question Answering Models](https://huggingface.co/papers/2311.08669) (2023)\n* [TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise](https://huggingface.co/papers/2310.19019) (2023)\n* [The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages](https://huggingface.co/papers/2310.14557) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2312.10332", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Context Tuning for Retrieval Augmented Generation](https://huggingface.co/papers/2312.05708) (2023)\n* [TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems](https://huggingface.co/papers/2311.11315) (2023)\n* [Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs](https://huggingface.co/papers/2311.05657) (2023)\n* [Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression](https://huggingface.co/papers/2310.15594) (2023)\n* [OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking](https://huggingface.co/papers/2311.09758) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2312.10523", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications](https://huggingface.co/papers/2310.15777) (2023)\n* [When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages](https://huggingface.co/papers/2311.09205) (2023)\n* [FinGPT: Large Generative Models for a Small Language](https://huggingface.co/papers/2311.05640) (2023)\n* [Efficiently Adapting Pretrained Language Models To New Languages](https://huggingface.co/papers/2311.05741) (2023)\n* [Data Similarity is Not Enough to Explain Language Model Performance](https://huggingface.co/papers/2311.09006) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.10540", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [StarVector: Generating Scalable Vector Graphics Code from Images](https://huggingface.co/papers/2312.11556) (2023)\n* [FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning](https://huggingface.co/papers/2312.12142) (2023)\n* [ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors](https://huggingface.co/papers/2311.05463) (2023)\n* [UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models](https://huggingface.co/papers/2312.04884) (2023)\n* [MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D Generation](https://huggingface.co/papers/2311.14494) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.10656", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LatentWarp: Consistent Diffusion Latents for Zero-Shot Video-to-Video Translation](https://huggingface.co/papers/2311.00353) (2023)\n* [RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models](https://huggingface.co/papers/2312.04524) (2023)\n* [BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models](https://huggingface.co/papers/2312.02813) (2023)\n* [Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models](https://huggingface.co/papers/2310.16400) (2023)\n* [A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing](https://huggingface.co/papers/2312.05856) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2312.10665.json b/data/2312.10665.json
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+{"paper_url": "https://huggingface.co/papers/2312.10665", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback](https://huggingface.co/papers/2312.00849) (2023)\n* [SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models](https://huggingface.co/papers/2311.07575) (2023)\n* [DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback](https://huggingface.co/papers/2311.10081) (2023)\n* [Unlock the Power: Competitive Distillation for Multi-Modal Large Language Models](https://huggingface.co/papers/2311.08213) (2023)\n* [Zephyr: Direct Distillation of LM Alignment](https://huggingface.co/papers/2310.16944) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.10763", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning](https://huggingface.co/papers/2311.18651) (2023)\n* [Chat-3D v2: Bridging 3D Scene and Large Language Models with Object Identifiers](https://huggingface.co/papers/2312.08168) (2023)\n* [An Embodied Generalist Agent in 3D World](https://huggingface.co/papers/2311.12871) (2023)\n* [Osprey: Pixel Understanding with Visual Instruction Tuning](https://huggingface.co/papers/2312.10032) (2023)\n* [ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model](https://huggingface.co/papers/2311.17618) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.10835", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation](https://huggingface.co/papers/2312.05239) (2023)\n* [SpeedUpNet: A Plug-and-Play Hyper-Network for Accelerating Text-to-Image Diffusion Models](https://huggingface.co/papers/2312.08887) (2023)\n* [AdaDiff: Adaptive Step Selection for Fast Diffusion](https://huggingface.co/papers/2311.14768) (2023)\n* [UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs](https://huggingface.co/papers/2311.09257) (2023)\n* [KOALA: Self-Attention Matters in Knowledge Distillation of Latent Diffusion Models for Memory-Efficient and Fast Image Synthesis](https://huggingface.co/papers/2312.04005) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+++ b/data/2312.10899.json
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+{"paper_url": "https://huggingface.co/papers/2312.10899", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort](https://huggingface.co/papers/2311.11243) (2023)\n* [Make-A-Storyboard: A General Framework for Storyboard with Disentangled and Merged Control](https://huggingface.co/papers/2312.07549) (2023)\n* [StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter](https://huggingface.co/papers/2312.00330) (2023)\n* [StoryGPT-V: Large Language Models as Consistent Story Visualizers](https://huggingface.co/papers/2312.02252) (2023)\n* [VideoBooth: Diffusion-based Video Generation with Image Prompts](https://huggingface.co/papers/2312.00777) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2312.11370", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models](https://huggingface.co/papers/2311.07575) (2023)\n* [What Large Language Models Bring to Text-rich VQA?](https://huggingface.co/papers/2311.07306) (2023)\n* [Assessing GPT4-V on Structured Reasoning Tasks](https://huggingface.co/papers/2312.11524) (2023)\n* [Unlock the Power: Competitive Distillation for Multi-Modal Large Language Models](https://huggingface.co/papers/2311.08213) (2023)\n* [MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning](https://huggingface.co/papers/2311.10774) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.11392", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models](https://huggingface.co/papers/2312.02813) (2023)\n* [X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model](https://huggingface.co/papers/2312.02238) (2023)\n* [ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors](https://huggingface.co/papers/2311.05463) (2023)\n* [UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models](https://huggingface.co/papers/2312.04884) (2023)\n* [SpeedUpNet: A Plug-and-Play Hyper-Network for Accelerating Text-to-Image Diffusion Models](https://huggingface.co/papers/2312.08887) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.11396", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [LIME: Localized Image Editing via Attention Regularization in Diffusion Models](https://huggingface.co/papers/2312.09256) (2023)\n* [Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation](https://huggingface.co/papers/2312.10113) (2023)\n* [LatentEditor: Text Driven Local Editing of 3D Scenes](https://huggingface.co/papers/2312.09313) (2023)\n* [Text-Driven Image Editing via Learnable Regions](https://huggingface.co/papers/2311.16432) (2023)\n* [Emu Edit: Precise Image Editing via Recognition and Generation Tasks](https://huggingface.co/papers/2311.10089) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.11458", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes](https://huggingface.co/papers/2311.12897) (2023)\n* [Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction](https://huggingface.co/papers/2312.01196) (2023)\n* [MD-Splatting: Learning Metric Deformation from 4D Gaussians in Highly Deformable Scenes](https://huggingface.co/papers/2312.00583) (2023)\n* [Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering](https://huggingface.co/papers/2312.00109) (2023)\n* [GauHuman: Articulated Gaussian Splatting from Monocular Human Videos](https://huggingface.co/papers/2312.02973) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.11459", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion](https://huggingface.co/papers/2312.09069) (2023)\n* [Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors](https://huggingface.co/papers/2312.04963) (2023)\n* [Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model](https://huggingface.co/papers/2311.06214) (2023)\n* [Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion](https://huggingface.co/papers/2311.15980) (2023)\n* [One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion](https://huggingface.co/papers/2311.07885) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.11461", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text](https://huggingface.co/papers/2311.17917) (2023)\n* [Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling](https://huggingface.co/papers/2311.16096) (2023)\n* [Human Gaussian Splatting: Real-time Rendering of Animatable Avatars](https://huggingface.co/papers/2311.17113) (2023)\n* [Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians](https://huggingface.co/papers/2312.03029) (2023)\n* [GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians](https://huggingface.co/papers/2312.02134) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.11462", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Speculative Contrastive Decoding](https://huggingface.co/papers/2311.08981) (2023)\n* [SpecTr: Fast Speculative Decoding via Optimal Transport](https://huggingface.co/papers/2310.15141) (2023)\n* [PaSS: Parallel Speculative Sampling](https://huggingface.co/papers/2311.13581) (2023)\n* [REST: Retrieval-Based Speculative Decoding](https://huggingface.co/papers/2311.08252) (2023)\n* [Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster](https://huggingface.co/papers/2311.08263) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.11514", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Prompt Cache: Modular Attention Reuse for Low-Latency Inference](https://huggingface.co/papers/2311.04934) (2023)\n* [Stateful Large Language Model Serving with Pensieve](https://huggingface.co/papers/2312.05516) (2023)\n* [SparQ Attention: Bandwidth-Efficient LLM Inference](https://huggingface.co/papers/2312.04985) (2023)\n* [ESPN: Memory-Efficient Multi-Vector Information Retrieval](https://huggingface.co/papers/2312.05417) (2023)\n* [Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge](https://huggingface.co/papers/2312.05693) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.11532", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM](https://huggingface.co/papers/2310.15296) (2023)\n* [Let the Pretrained Language Models \"Imagine\" for Short Texts Topic Modeling](https://huggingface.co/papers/2310.15420) (2023)\n* [Prompting Large Language Models for Topic Modeling](https://huggingface.co/papers/2312.09693) (2023)\n* [VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation](https://huggingface.co/papers/2312.09251) (2023)\n* [KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering](https://huggingface.co/papers/2310.19650) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+++ b/data/2312.11535.json
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+{"paper_url": "https://huggingface.co/papers/2312.11535", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture](https://huggingface.co/papers/2311.10123) (2023)\n* [One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion](https://huggingface.co/papers/2311.07885) (2023)\n* [ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis](https://huggingface.co/papers/2311.17123) (2023)\n* [Wonder3D: Single Image to 3D using Cross-Domain Diffusion](https://huggingface.co/papers/2310.15008) (2023)\n* [HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion](https://huggingface.co/papers/2311.16961) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+++ b/data/2312.11537.json
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+{"paper_url": "https://huggingface.co/papers/2312.11537", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields](https://huggingface.co/papers/2312.12122) (2023)\n* [Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields](https://huggingface.co/papers/2311.12490) (2023)\n* [MixRT: Mixed Neural Representations For Real-Time NeRF Rendering](https://huggingface.co/papers/2312.11841) (2023)\n* [PyNeRF: Pyramidal Neural Radiance Fields](https://huggingface.co/papers/2312.00252) (2023)\n* [ProNeRF: Learning Efficient Projection-Aware Ray Sampling for Fine-Grained Implicit Neural Radiance Fields](https://huggingface.co/papers/2312.08136) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.11556", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models](https://huggingface.co/papers/2311.15543) (2023)\n* [StoryGPT-V: Large Language Models as Consistent Story Visualizers](https://huggingface.co/papers/2312.02252) (2023)\n* [Fine-Tuning InstructPix2Pix for Advanced Image Colorization](https://huggingface.co/papers/2312.04780) (2023)\n* [Customization Assistant for Text-to-image Generation](https://huggingface.co/papers/2312.03045) (2023)\n* [VectorTalker: SVG Talking Face Generation with Progressive Vectorisation](https://huggingface.co/papers/2312.11568) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
index 0000000000000000000000000000000000000000..2bec1458f1e6284163d2ef7d99da80b3af76feef
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+{"paper_url": "https://huggingface.co/papers/2312.11595", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Image Super-Resolution with Text Prompt Diffusion](https://huggingface.co/papers/2311.14282) (2023)\n* [DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models](https://huggingface.co/papers/2312.03771) (2023)\n* [Textual Prompt Guided Image Restoration](https://huggingface.co/papers/2312.06162) (2023)\n* [Prompt-In-Prompt Learning for Universal Image Restoration](https://huggingface.co/papers/2312.05038) (2023)\n* [CoSeR: Bridging Image and Language for Cognitive Super-Resolution](https://huggingface.co/papers/2311.16512) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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index 0000000000000000000000000000000000000000..301ac9bcc80e91a9e7928955ec59d7500f2d3ac0
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+{"paper_url": "https://huggingface.co/papers/2312.11666", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [GroomGen: A High-Quality Generative Hair Model Using Hierarchical Latent Representations](https://huggingface.co/papers/2311.02062) (2023)\n* [HumanCoser: Layered 3D Human Generation via Semantic-Aware Diffusion Model](https://huggingface.co/papers/2312.05804) (2023)\n* [MVHuman: Tailoring 2D Diffusion with Multi-view Sampling For Realistic 3D Human Generation](https://huggingface.co/papers/2312.10120) (2023)\n* [Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors](https://huggingface.co/papers/2312.04963) (2023)\n* [Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints](https://huggingface.co/papers/2312.08591) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.11805", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise](https://huggingface.co/papers/2312.12436) (2023)\n* [MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI](https://huggingface.co/papers/2311.16502) (2023)\n* [GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models](https://huggingface.co/papers/2312.03543) (2023)\n* [Multitask Multimodal Prompted Training for Interactive Embodied Task Completion](https://huggingface.co/papers/2311.04067) (2023)\n* [GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation](https://huggingface.co/papers/2311.16511) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2312.11841.json b/data/2312.11841.json
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+{"paper_url": "https://huggingface.co/papers/2312.11841", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Real-Time Neural Rasterization for Large Scenes](https://huggingface.co/papers/2311.05607) (2023)\n* [Volumetric Rendering with Baked Quadrature Fields](https://huggingface.co/papers/2312.02202) (2023)\n* [HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces](https://huggingface.co/papers/2312.03160) (2023)\n* [VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis](https://huggingface.co/papers/2311.05289) (2023)\n* [Anisotropic Neural Representation Learning for High-Quality Neural Rendering](https://huggingface.co/papers/2311.18311) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.11894", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Network](https://huggingface.co/papers/2310.16288) (2023)\n* [SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction](https://huggingface.co/papers/2312.06704) (2023)\n* [Pose Anything: A Graph-Based Approach for Category-Agnostic Pose Estimation](https://huggingface.co/papers/2311.17891) (2023)\n* [GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence](https://huggingface.co/papers/2311.13777) (2023)\n* [3D Hand Pose Estimation in Egocentric Images in the Wild](https://huggingface.co/papers/2312.06583) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.11897", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Vamos: Versatile Action Models for Video Understanding](https://huggingface.co/papers/2311.13627) (2023)\n* [VLAP: Efficient Video-Language Alignment via Frame Prompting and Distilling for Video Question Answering](https://huggingface.co/papers/2312.08367) (2023)\n* [A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames](https://huggingface.co/papers/2312.07395) (2023)\n* [Harvest Video Foundation Models via Efficient Post-Pretraining](https://huggingface.co/papers/2310.19554) (2023)\n* [LALM: Long-Term Action Anticipation with Language Models](https://huggingface.co/papers/2311.17944) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.12030", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Manifold Preserving Guided Diffusion](https://huggingface.co/papers/2311.16424) (2023)\n* [One-step Diffusion with Distribution Matching Distillation](https://huggingface.co/papers/2311.18828) (2023)\n* [HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models](https://huggingface.co/papers/2312.00079) (2023)\n* [Compensation Sampling for Improved Convergence in Diffusion Models](https://huggingface.co/papers/2312.06285) (2023)\n* [On Inference Stability for Diffusion Models](https://huggingface.co/papers/2312.12431) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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index 0000000000000000000000000000000000000000..e3c1ede2cbae2a819eac86db6b0e53ba182ca766
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+{"paper_url": "https://huggingface.co/papers/2312.12423", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Osprey: Pixel Understanding with Visual Instruction Tuning](https://huggingface.co/papers/2312.10032) (2023)\n* [Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects](https://huggingface.co/papers/2312.05278) (2023)\n* [ViLaM: A Vision-Language Model with Enhanced Visual Grounding and Generalization Capability](https://huggingface.co/papers/2311.12327) (2023)\n* [Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks](https://huggingface.co/papers/2311.06242) (2023)\n* [SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models](https://huggingface.co/papers/2311.07575) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2312.12433.json b/data/2312.12433.json
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index 0000000000000000000000000000000000000000..6cc0ab2cdfde38458c348efc660bf6821d0acda0
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+{"paper_url": "https://huggingface.co/papers/2312.12433", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [General Object Foundation Model for Images and Videos at Scale](https://huggingface.co/papers/2312.09158) (2023)\n* [Contrastive Learning for Multi-Object Tracking with Transformers](https://huggingface.co/papers/2311.08043) (2023)\n* [Siamese-DETR for Generic Multi-Object Tracking](https://huggingface.co/papers/2310.17875) (2023)\n* [Amodal Optical Flow](https://huggingface.co/papers/2311.07761) (2023)\n* [DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos](https://huggingface.co/papers/2312.09523) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+++ b/data/2312.12436.json
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+{"paper_url": "https://huggingface.co/papers/2312.12436", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study](https://huggingface.co/papers/2311.04199) (2023)\n* [Gemini: A Family of Highly Capable Multimodal Models](https://huggingface.co/papers/2312.11805) (2023)\n* [MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI](https://huggingface.co/papers/2311.16502) (2023)\n* [A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering](https://huggingface.co/papers/2311.07536) (2023)\n* [Assessing GPT4-V on Structured Reasoning Tasks](https://huggingface.co/papers/2312.11524) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.13314", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space](https://huggingface.co/papers/2311.13570) (2023)\n* [Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation](https://huggingface.co/papers/2311.17121) (2023)\n* [DiffiT: Diffusion Vision Transformers for Image Generation](https://huggingface.co/papers/2312.02139) (2023)\n* [Peer is Your Pillar: A Data-unbalanced Conditional GANs for Few-shot Image Generation](https://huggingface.co/papers/2311.08217) (2023)\n* [Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation](https://huggingface.co/papers/2312.17505) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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index 0000000000000000000000000000000000000000..b8d2d05c916ff2b8691743af52bd221a243a1367
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+{"paper_url": "https://huggingface.co/papers/2312.13324", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [HeadArtist: Text-conditioned 3D Head Generation with Self Score Distillation](https://huggingface.co/papers/2312.07539) (2023)\n* [SceneWiz3D: Towards Text-guided 3D Scene Composition](https://huggingface.co/papers/2312.08885) (2023)\n* [CAD: Photorealistic 3D Generation via Adversarial Distillation](https://huggingface.co/papers/2312.06663) (2023)\n* [Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior](https://huggingface.co/papers/2312.11535) (2023)\n* [ControlDreamer: Stylized 3D Generation with Multi-View ControlNet](https://huggingface.co/papers/2312.01129) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.13401", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization](https://huggingface.co/papers/2311.09344) (2023)\n* [Efficiently Adapting Pretrained Language Models To New Languages](https://huggingface.co/papers/2311.05741) (2023)\n* [PEMA: Plug-in External Memory Adaptation for Language Models](https://huggingface.co/papers/2311.08590) (2023)\n* [LM-Cocktail: Resilient Tuning of Language Models via Model Merging](https://huggingface.co/papers/2311.13534) (2023)\n* [Tied-Lora: Enhacing parameter efficiency of LoRA with weight tying](https://huggingface.co/papers/2311.09578) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.13469", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing](https://huggingface.co/papers/2312.01853) (2023)\n* [HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors](https://huggingface.co/papers/2311.16552) (2023)\n* [TouchSDF: A DeepSDF Approach for 3D Shape Reconstruction using Vision-Based Tactile Sensing](https://huggingface.co/papers/2311.12602) (2023)\n* [HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video](https://huggingface.co/papers/2311.18448) (2023)\n* [CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation](https://huggingface.co/papers/2312.08240) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2312.13528.json b/data/2312.13528.json
new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2312.13528", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Fast View Synthesis of Casual Videos](https://huggingface.co/papers/2312.02135) (2023)\n* [COLMAP-Free 3D Gaussian Splatting](https://huggingface.co/papers/2312.07504) (2023)\n* [Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis](https://huggingface.co/papers/2311.17634) (2023)\n* [Deblurring 3D Gaussian Splatting](https://huggingface.co/papers/2401.00834) (2024)\n* [NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos](https://huggingface.co/papers/2312.06398) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2312.13578", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [GMTalker: Gaussian Mixture based Emotional talking video Portraits](https://huggingface.co/papers/2312.07669) (2023)\n* [DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models](https://huggingface.co/papers/2312.09767) (2023)\n* [SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis](https://huggingface.co/papers/2311.17590) (2023)\n* [3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing](https://huggingface.co/papers/2312.00870) (2023)\n* [FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models](https://huggingface.co/papers/2312.08459) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.13691", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation](https://huggingface.co/papers/2312.16272) (2023)\n* [Decoupled Textual Embeddings for Customized Image Generation](https://huggingface.co/papers/2312.11826) (2023)\n* [HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models](https://huggingface.co/papers/2312.00079) (2023)\n* [VideoBooth: Diffusion-based Video Generation with Image Prompts](https://huggingface.co/papers/2312.00777) (2023)\n* [DreamVideo: Composing Your Dream Videos with Customized Subject and Motion](https://huggingface.co/papers/2312.04433) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2312.13763.json b/data/2312.13763.json
new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2312.13763", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [A Unified Approach for Text- and Image-guided 4D Scene Generation](https://huggingface.co/papers/2311.16854) (2023)\n* [4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency](https://huggingface.co/papers/2312.17225) (2023)\n* [4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling](https://huggingface.co/papers/2311.17984) (2023)\n* [Animate124: Animating One Image to 4D Dynamic Scene](https://huggingface.co/papers/2311.14603) (2023)\n* [Text-Image Conditioned Diffusion for Consistent Text-to-3D Generation](https://huggingface.co/papers/2312.11774) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2312.13771.json b/data/2312.13771.json
new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2312.13771", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Navigating Interfaces with AI for Enhanced User Interaction](https://huggingface.co/papers/2312.11190) (2023)\n* [GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation](https://huggingface.co/papers/2311.07562) (2023)\n* [ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automation](https://huggingface.co/papers/2312.13108) (2023)\n* [See and Think: Embodied Agent in Virtual Environment](https://huggingface.co/papers/2311.15209) (2023)\n* [Intelligent Virtual Assistants with LLM-based Process Automation](https://huggingface.co/papers/2312.06677) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+++ b/data/2312.13789.json
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+{"paper_url": "https://huggingface.co/papers/2312.13789", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [RepViT-SAM: Towards Real-Time Segmenting Anything](https://huggingface.co/papers/2312.05760) (2023)\n* [EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything](https://huggingface.co/papers/2312.00863) (2023)\n* [EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM](https://huggingface.co/papers/2312.06660) (2023)\n* [MobileSAMv2: Faster Segment Anything to Everything](https://huggingface.co/papers/2312.09579) (2023)\n* [Stable Segment Anything Model](https://huggingface.co/papers/2311.15776) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2312.13834", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis](https://huggingface.co/papers/2312.17681) (2023)\n* [MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers](https://huggingface.co/papers/2312.12468) (2023)\n* [VidToMe: Video Token Merging for Zero-Shot Video Editing](https://huggingface.co/papers/2312.10656) (2023)\n* [Motion-Conditioned Image Animation for Video Editing](https://huggingface.co/papers/2311.18827) (2023)\n* [RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models](https://huggingface.co/papers/2312.04524) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.13913", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors](https://huggingface.co/papers/2311.17261) (2023)\n* [Text-Guided Texturing by Synchronized Multi-View Diffusion](https://huggingface.co/papers/2311.12891) (2023)\n* [Text-Guided 3D Face Synthesis - From Generation to Editing](https://huggingface.co/papers/2312.00375) (2023)\n* [Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior](https://huggingface.co/papers/2312.11535) (2023)\n* [ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis](https://huggingface.co/papers/2311.17123) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+++ b/data/2312.13964.json
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+{"paper_url": "https://huggingface.co/papers/2312.13964", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://huggingface.co/papers/2311.17117) (2023)\n* [DreamVideo: Composing Your Dream Videos with Customized Subject and Motion](https://huggingface.co/papers/2312.04433) (2023)\n* [AnimateZero: Video Diffusion Models are Zero-Shot Image Animators](https://huggingface.co/papers/2312.03793) (2023)\n* [LivePhoto: Real Image Animation with Text-guided Motion Control](https://huggingface.co/papers/2312.02928) (2023)\n* [VideoBooth: Diffusion-based Video Generation with Image Prompts](https://huggingface.co/papers/2312.00777) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.13980", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model](https://huggingface.co/papers/2311.06214) (2023)\n* [Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion](https://huggingface.co/papers/2311.15980) (2023)\n* [DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model](https://huggingface.co/papers/2311.09217) (2023)\n* [Text-Image Conditioned Diffusion for Consistent Text-to-3D Generation](https://huggingface.co/papers/2312.11774) (2023)\n* [Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting](https://huggingface.co/papers/2312.13271) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2312.14091", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting](https://huggingface.co/papers/2312.03594) (2023)\n* [DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models](https://huggingface.co/papers/2312.03771) (2023)\n* [LoCo: Locally Constrained Training-Free Layout-to-Image Synthesis](https://huggingface.co/papers/2311.12342) (2023)\n* [Towards Stable and Faithful Inpainting](https://huggingface.co/papers/2312.04831) (2023)\n* [UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models](https://huggingface.co/papers/2312.04884) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14125", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Photorealistic Video Generation with Diffusion Models](https://huggingface.co/papers/2312.06662) (2023)\n* [Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning](https://huggingface.co/papers/2311.10709) (2023)\n* [Make Pixels Dance: High-Dynamic Video Generation](https://huggingface.co/papers/2311.10982) (2023)\n* [MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers](https://huggingface.co/papers/2312.12468) (2023)\n* [Fine-grained Controllable Video Generation via Object Appearance and Context](https://huggingface.co/papers/2312.02919) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14140", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DPHMs: Diffusion Parametric Head Models for Depth-based Tracking](https://huggingface.co/papers/2312.01068) (2023)\n* [DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars](https://huggingface.co/papers/2311.18635) (2023)\n* [FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models](https://huggingface.co/papers/2312.08459) (2023)\n* [MonoNPHM: Dynamic Head Reconstruction from Monocular Videos](https://huggingface.co/papers/2312.06740) (2023)\n* [CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer](https://huggingface.co/papers/2311.06443) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14187", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Magicoder: Source Code Is All You Need](https://huggingface.co/papers/2312.02120) (2023)\n* [Instruction Fusion: Advancing Prompt Evolution through Hybridization](https://huggingface.co/papers/2312.15692) (2023)\n* [Rethinking the Instruction Quality: LIFT is What You Need](https://huggingface.co/papers/2312.11508) (2023)\n* [One Shot Learning as Instruction Data Prospector for Large Language Models](https://huggingface.co/papers/2312.10302) (2023)\n* [MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks](https://huggingface.co/papers/2312.15960) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14198", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DiffCAD: Weakly-Supervised Probabilistic CAD Model Retrieval and Alignment from an RGB Image](https://huggingface.co/papers/2311.18610) (2023)\n* [Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation](https://huggingface.co/papers/2312.07063) (2023)\n* [SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion](https://huggingface.co/papers/2311.15855) (2023)\n* [LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset](https://huggingface.co/papers/2312.12418) (2023)\n* [Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers](https://huggingface.co/papers/2312.09147) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14203", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Fine-Tuning Language Models for Context-Specific SQL Query Generation](https://huggingface.co/papers/2312.02251) (2023)\n* [A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest](https://huggingface.co/papers/2311.10614) (2023)\n* [Numerical Reasoning for Financial Reports](https://huggingface.co/papers/2312.14870) (2023)\n* [ArcMMLU: A Library and Information Science Benchmark for Large Language Models](https://huggingface.co/papers/2311.18658) (2023)\n* [EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data](https://huggingface.co/papers/2312.15696) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14206", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [VTimeLLM: Empower LLM to Grasp Video Moments](https://huggingface.co/papers/2311.18445) (2023)\n* [LifelongMemory: Leveraging LLMs for Answering Queries in Egocentric Videos](https://huggingface.co/papers/2312.05269) (2023)\n* [Grounding-Prompter: Prompting LLM with Multimodal Information for Temporal Sentence Grounding in Long Videos](https://huggingface.co/papers/2312.17117) (2023)\n* [PG-Video-LLaVA: Pixel Grounding Large Video-Language Models](https://huggingface.co/papers/2311.13435) (2023)\n* [TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding](https://huggingface.co/papers/2312.02051) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14216", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CatVersion: Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization](https://huggingface.co/papers/2311.14631) (2023)\n* [Cross Initialization for Personalized Text-to-Image Generation](https://huggingface.co/papers/2312.15905) (2023)\n* [Decoupled Textual Embeddings for Customized Image Generation](https://huggingface.co/papers/2312.11826) (2023)\n* [DreamTuner: Single Image is Enough for Subject-Driven Generation](https://huggingface.co/papers/2312.13691) (2023)\n* [Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models](https://huggingface.co/papers/2312.12416) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14232", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Compress&Align: Curating Image-Text Data with Human Knowledge](https://huggingface.co/papers/2312.06726) (2023)\n* [CLIM: Contrastive Language-Image Mosaic for Region Representation](https://huggingface.co/papers/2312.11376) (2023)\n* [Improving Cross-modal Alignment with Synthetic Pairs for Text-only Image Captioning](https://huggingface.co/papers/2312.08865) (2023)\n* [Alpha-CLIP: A CLIP Model Focusing on Wherever You Want](https://huggingface.co/papers/2312.03818) (2023)\n* [Training CLIP models on Data from Scientific Papers](https://huggingface.co/papers/2311.04711) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14233", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Osprey: Pixel Understanding with Visual Instruction Tuning](https://huggingface.co/papers/2312.10032) (2023)\n* [OneLLM: One Framework to Align All Modalities with Language](https://huggingface.co/papers/2312.03700) (2023)\n* [PerceptionGPT: Effectively Fusing Visual Perception into LLM](https://huggingface.co/papers/2311.06612) (2023)\n* [VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation](https://huggingface.co/papers/2312.09251) (2023)\n* [Mitigating Hallucination in Visual Language Models with Visual Supervision](https://huggingface.co/papers/2311.16479) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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new file mode 100644
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+{"paper_url": "https://huggingface.co/papers/2312.14238", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects](https://huggingface.co/papers/2312.05278) (2023)\n* [Contrastive Vision-Language Alignment Makes Efficient Instruction Learner](https://huggingface.co/papers/2311.17945) (2023)\n* [MLLMs-Augmented Visual-Language Representation Learning](https://huggingface.co/papers/2311.18765) (2023)\n* [Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks](https://huggingface.co/papers/2311.06242) (2023)\n* [InfMLLM: A Unified Framework for Visual-Language Tasks](https://huggingface.co/papers/2311.06791) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14239", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition](https://huggingface.co/papers/2312.16215) (2023)\n* [Holistic Inverse Rendering of Complex Facade via Aerial 3D Scanning](https://huggingface.co/papers/2311.11825) (2023)\n* [UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections](https://huggingface.co/papers/2312.13285) (2023)\n* [The Sky's the Limit: Re-lightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility](https://huggingface.co/papers/2311.16937) (2023)\n* [Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images](https://huggingface.co/papers/2312.15942) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14302", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Jatmo: Prompt Injection Defense by Task-Specific Finetuning](https://huggingface.co/papers/2312.17673) (2023)\n* [Removing RLHF Protections in GPT-4 via Fine-Tuning](https://huggingface.co/papers/2311.05553) (2023)\n* [Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections](https://huggingface.co/papers/2312.00027) (2023)\n* [A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models](https://huggingface.co/papers/2312.10982) (2023)\n* [Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models](https://huggingface.co/papers/2312.14197) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14327", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [ICL Markup: Structuring In-Context Learning using Soft-Token Tags](https://huggingface.co/papers/2312.07405) (2023)\n* [PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching](https://huggingface.co/papers/2312.05621) (2023)\n* [PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers](https://huggingface.co/papers/2311.09180) (2023)\n* [GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks](https://huggingface.co/papers/2311.09606) (2023)\n* [K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries](https://huggingface.co/papers/2312.17748) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14385", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Photorealistic Video Generation with Diffusion Models](https://huggingface.co/papers/2312.06662) (2023)\n* [VideoPoet: A Large Language Model for Zero-Shot Video Generation](https://huggingface.co/papers/2312.14125) (2023)\n* [GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation](https://huggingface.co/papers/2312.04557) (2023)\n* [DiffiT: Diffusion Vision Transformers for Image Generation](https://huggingface.co/papers/2312.02139) (2023)\n* [FusionFrames: Efficient Architectural Aspects for Text-to-Video Generation Pipeline](https://huggingface.co/papers/2311.13073) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14591", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Aligning Large Language Models with Human Preferences through Representation Engineering](https://huggingface.co/papers/2312.15997) (2023)\n* [Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment](https://huggingface.co/papers/2311.04072) (2023)\n* [The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning](https://huggingface.co/papers/2312.01552) (2023)\n* [Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language](https://huggingface.co/papers/2311.14543) (2023)\n* [Silkie: Preference Distillation for Large Visual Language Models](https://huggingface.co/papers/2312.10665) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14862", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Ziya2: Data-centric Learning is All LLMs Need](https://huggingface.co/papers/2311.03301) (2023)\n* [Tamil-Llama: A New Tamil Language Model Based on Llama 2](https://huggingface.co/papers/2311.05845) (2023)\n* [EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data](https://huggingface.co/papers/2312.15696) (2023)\n* [TigerBot: An Open Multilingual Multitask LLM](https://huggingface.co/papers/2312.08688) (2023)\n* [SeaLLMs - Large Language Models for Southeast Asia](https://huggingface.co/papers/2312.00738) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14878", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent](https://huggingface.co/papers/2312.10003) (2023)\n* [Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks](https://huggingface.co/papers/2312.06876) (2023)\n* [Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation](https://huggingface.co/papers/2401.00006) (2023)\n* [Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents](https://huggingface.co/papers/2311.11797) (2023)\n* [LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models](https://huggingface.co/papers/2311.18232) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.14929", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [ReMoS: Reactive 3D Motion Synthesis for Two-Person Interactions](https://huggingface.co/papers/2311.17057) (2023)\n* [Controllable Human-Object Interaction Synthesis](https://huggingface.co/papers/2312.03913) (2023)\n* [CG-HOI: Contact-Guided 3D Human-Object Interaction Generation](https://huggingface.co/papers/2311.16097) (2023)\n* [HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models](https://huggingface.co/papers/2312.06553) (2023)\n* [HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Models](https://huggingface.co/papers/2312.04867) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.15011", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise](https://huggingface.co/papers/2312.12436) (2023)\n* [Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models](https://huggingface.co/papers/2312.17661) (2023)\n* [Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study](https://huggingface.co/papers/2311.04199) (2023)\n* [A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering](https://huggingface.co/papers/2311.07536) (2023)\n* [An In-depth Look at Gemini's Language Abilities](https://huggingface.co/papers/2312.11444) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.15166", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Black-Box Prompt Optimization: Aligning Large Language Models without Model Training](https://huggingface.co/papers/2311.04155) (2023)\n* [LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms](https://huggingface.co/papers/2311.13133) (2023)\n* [SymNoise: Advancing Language Model Fine-tuning with Symmetric Noise](https://huggingface.co/papers/2312.01523) (2023)\n* [PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching](https://huggingface.co/papers/2312.05621) (2023)\n* [LM-Cocktail: Resilient Tuning of Language Models via Model Merging](https://huggingface.co/papers/2311.13534) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.15258", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [GauHuman: Articulated Gaussian Splatting from Monocular Human Videos](https://huggingface.co/papers/2312.02973) (2023)\n* [3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting](https://huggingface.co/papers/2312.09228) (2023)\n* [Animatable 3D Gaussians for High-fidelity Synthesis of Human Motions](https://huggingface.co/papers/2311.13404) (2023)\n* [Human Gaussian Splatting: Real-time Rendering of Animatable Avatars](https://huggingface.co/papers/2311.17113) (2023)\n* [HUGS: Human Gaussian Splats](https://huggingface.co/papers/2311.17910) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.15430", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Disentangled Clothed Avatar Generation from Text Descriptions](https://huggingface.co/papers/2312.05295) (2023)\n* [SEEAvatar: Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance](https://huggingface.co/papers/2312.08889) (2023)\n* [Text-Guided 3D Face Synthesis - From Generation to Editing](https://huggingface.co/papers/2312.00375) (2023)\n* [ControlDreamer: Stylized 3D Generation with Multi-View ControlNet](https://huggingface.co/papers/2312.01129) (2023)\n* [HeadArtist: Text-conditioned 3D Head Generation with Self Score Distillation](https://huggingface.co/papers/2312.07539) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.15715", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [General Object Foundation Model for Images and Videos at Scale](https://huggingface.co/papers/2312.09158) (2023)\n* [1st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentation](https://huggingface.co/papers/2401.00663) (2024)\n* [Unveiling Parts Beyond Objects:Towards Finer-Granularity Referring Expression Segmentation](https://huggingface.co/papers/2312.08007) (2023)\n* [M3T: Multi-Scale Memory Matching for Video Object Segmentation and Tracking](https://huggingface.co/papers/2312.08514) (2023)\n* [MARIS: Referring Image Segmentation via Mutual-Aware Attention Features](https://huggingface.co/papers/2311.15727) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.15770", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [VideoLCM: Video Latent Consistency Model](https://huggingface.co/papers/2312.09109) (2023)\n* [MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation](https://huggingface.co/papers/2311.18829) (2023)\n* [MTVG : Multi-text Video Generation with Text-to-Video Models](https://huggingface.co/papers/2312.04086) (2023)\n* [Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation](https://huggingface.co/papers/2312.04483) (2023)\n* [SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models](https://huggingface.co/papers/2311.16933) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.15821", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Boosting Large Language Model for Speech Synthesis: An Empirical Study](https://huggingface.co/papers/2401.00246) (2023)\n* [Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models](https://huggingface.co/papers/2311.07919) (2023)\n* [ParrotTTS: Text-to-Speech synthesis by exploiting self-supervised representations](https://huggingface.co/papers/2303.01261) (2023)\n* [ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations](https://huggingface.co/papers/2312.14398) (2023)\n* [Acoustic Prompt Tuning: Empowering Large Language Models with Audition Capabilities](https://huggingface.co/papers/2312.00249) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.15918", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning](https://huggingface.co/papers/2312.10771) (2023)\n* [Improving In-context Learning via Bidirectional Alignment](https://huggingface.co/papers/2312.17055) (2023)\n* [Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference](https://huggingface.co/papers/2311.07556) (2023)\n* [FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models](https://huggingface.co/papers/2311.15614) (2023)\n* [Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning](https://huggingface.co/papers/2311.07099) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.15980", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Optimized View and Geometry Distillation from Multi-view Diffuser](https://huggingface.co/papers/2312.06198) (2023)\n* [One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion](https://huggingface.co/papers/2311.07885) (2023)\n* [Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior](https://huggingface.co/papers/2312.11535) (2023)\n* [MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture](https://huggingface.co/papers/2311.10123) (2023)\n* [Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting](https://huggingface.co/papers/2312.13271) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16084", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding](https://huggingface.co/papers/2311.18482) (2023)\n* [Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields](https://huggingface.co/papers/2312.03203) (2023)\n* [Gaussian Grouping: Segment and Edit Anything in 3D Scenes](https://huggingface.co/papers/2312.00732) (2023)\n* [LatentEditor: Text Driven Local Editing of 3D Scenes](https://huggingface.co/papers/2312.09313) (2023)\n* [Segment Any 3D Gaussians](https://huggingface.co/papers/2312.00860) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16145", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers](https://huggingface.co/papers/2311.17717) (2023)\n* [Concept-centric Personalization with Large-scale Diffusion Priors](https://huggingface.co/papers/2312.08195) (2023)\n* [All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models](https://huggingface.co/papers/2312.12807) (2023)\n* [X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model](https://huggingface.co/papers/2312.02238) (2023)\n* [SpeedUpNet: A Plug-and-Play Hyper-Network for Accelerating Text-to-Image Diffusion Models](https://huggingface.co/papers/2312.08887) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16171", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Testing LLMs on Code Generation with Varying Levels of Prompt Specificity](https://huggingface.co/papers/2311.07599) (2023)\n* [Jatmo: Prompt Injection Defense by Task-Specific Finetuning](https://huggingface.co/papers/2312.17673) (2023)\n* [Black-Box Prompt Optimization: Aligning Large Language Models without Model Training](https://huggingface.co/papers/2311.04155) (2023)\n* [Prompting Frameworks for Large Language Models: A Survey](https://huggingface.co/papers/2311.12785) (2023)\n* [Applying Large Language Models and Chain-of-Thought for Automatic Scoring](https://huggingface.co/papers/2312.03748) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16218", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers](https://huggingface.co/papers/2312.09147) (2023)\n* [One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion](https://huggingface.co/papers/2311.07885) (2023)\n* [EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion](https://huggingface.co/papers/2312.06725) (2023)\n* [DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model](https://huggingface.co/papers/2311.09217) (2023)\n* [NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion](https://huggingface.co/papers/2312.04654) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16256", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting](https://huggingface.co/papers/2312.00451) (2023)\n* [ZeroRF: Fast Sparse View 360{\\deg} Reconstruction with Zero Pretraining](https://huggingface.co/papers/2312.09249) (2023)\n* [MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis](https://huggingface.co/papers/2311.02778) (2023)\n* [CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering](https://huggingface.co/papers/2311.15510) (2023)\n* [DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes](https://huggingface.co/papers/2311.16664) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16272", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DreamTuner: Single Image is Enough for Subject-Driven Generation](https://huggingface.co/papers/2312.13691) (2023)\n* [Decoupled Textual Embeddings for Customized Image Generation](https://huggingface.co/papers/2312.11826) (2023)\n* [VideoBooth: Diffusion-based Video Generation with Image Prompts](https://huggingface.co/papers/2312.00777) (2023)\n* [When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation](https://huggingface.co/papers/2311.17461) (2023)\n* [High-fidelity Person-centric Subject-to-Image Synthesis](https://huggingface.co/papers/2311.10329) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16457", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MixRT: Mixed Neural Representations For Real-Time NeRF Rendering](https://huggingface.co/papers/2312.11841) (2023)\n* [SCALAR-NeRF: SCAlable LARge-scale Neural Radiance Fields for Scene Reconstruction](https://huggingface.co/papers/2311.16657) (2023)\n* [VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams](https://huggingface.co/papers/2312.01407) (2023)\n* [HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces](https://huggingface.co/papers/2312.03160) (2023)\n* [VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis](https://huggingface.co/papers/2311.05289) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16486", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation](https://huggingface.co/papers/2312.05239) (2023)\n* [ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations](https://huggingface.co/papers/2312.04655) (2023)\n* [iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior Design](https://huggingface.co/papers/2312.04326) (2023)\n* [HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation](https://huggingface.co/papers/2311.18158) (2023)\n* [BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models](https://huggingface.co/papers/2312.02813) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16693", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text Guidance](https://huggingface.co/papers/2312.03018) (2023)\n* [Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://huggingface.co/papers/2311.17117) (2023)\n* [MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation](https://huggingface.co/papers/2311.18829) (2023)\n* [I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models](https://huggingface.co/papers/2311.04145) (2023)\n* [SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models](https://huggingface.co/papers/2311.16933) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16720", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation](https://huggingface.co/papers/2311.12229) (2023)\n* [Prompt-Propose-Verify: A Reliable Hand-Object-Interaction Data Generation Framework using Foundational Models](https://huggingface.co/papers/2312.15247) (2023)\n* [Customization Assistant for Text-to-image Generation](https://huggingface.co/papers/2312.03045) (2023)\n* [InstructBooth: Instruction-following Personalized Text-to-Image Generation](https://huggingface.co/papers/2312.03011) (2023)\n* [BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis](https://huggingface.co/papers/2311.06752) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16812", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes](https://huggingface.co/papers/2311.12897) (2023)\n* [FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting](https://huggingface.co/papers/2312.00451) (2023)\n* [Fast View Synthesis of Casual Videos](https://huggingface.co/papers/2312.02135) (2023)\n* [SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes](https://huggingface.co/papers/2312.14937) (2023)\n* [GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis](https://huggingface.co/papers/2312.11458) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16837", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CAD: Photorealistic 3D Generation via Adversarial Distillation](https://huggingface.co/papers/2312.06663) (2023)\n* [Text-Guided 3D Face Synthesis - From Generation to Editing](https://huggingface.co/papers/2312.00375) (2023)\n* [Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion](https://huggingface.co/papers/2311.15980) (2023)\n* [MVHuman: Tailoring 2D Diffusion with Multi-view Sampling For Realistic 3D Human Generation](https://huggingface.co/papers/2312.10120) (2023)\n* [ET3D: Efficient Text-to-3D Generation via Multi-View Distillation](https://huggingface.co/papers/2311.15561) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16862", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CogVLM: Visual Expert for Pretrained Language Models](https://huggingface.co/papers/2311.03079) (2023)\n* [A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise](https://huggingface.co/papers/2312.12436) (2023)\n* [GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation](https://huggingface.co/papers/2311.16511) (2023)\n* [MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices](https://huggingface.co/papers/2312.16886) (2023)\n* [Efficient Large Language Models: A Survey](https://huggingface.co/papers/2312.03863) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.16886", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [InfMLLM: A Unified Framework for Visual-Language Tasks](https://huggingface.co/papers/2311.06791) (2023)\n* [InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks](https://huggingface.co/papers/2312.14238) (2023)\n* [Contrastive Vision-Language Alignment Makes Efficient Instruction Learner](https://huggingface.co/papers/2311.17945) (2023)\n* [VILA: On Pre-training for Visual Language Models](https://huggingface.co/papers/2312.07533) (2023)\n* [Generative Multimodal Models are In-Context Learners](https://huggingface.co/papers/2312.13286) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17120", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Oasis: Data Curation and Assessment System for Pretraining of Large Language Models](https://huggingface.co/papers/2311.12537) (2023)\n* [Ziya2: Data-centric Learning is All LLMs Need](https://huggingface.co/papers/2311.03301) (2023)\n* [Paloma: A Benchmark for Evaluating Language Model Fit](https://huggingface.co/papers/2312.10523) (2023)\n* [YUAN 2.0: A Large Language Model with Localized Filtering-based Attention](https://huggingface.co/papers/2311.15786) (2023)\n* [YAYI 2: Multilingual Open-Source Large Language Models](https://huggingface.co/papers/2312.14862) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17135", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [TLControl: Trajectory and Language Control for Human Motion Synthesis](https://huggingface.co/papers/2311.17135) (2023)\n* [Motion Flow Matching for Human Motion Synthesis and Editing](https://huggingface.co/papers/2312.08895) (2023)\n* [AnimateAnything: Fine-Grained Open Domain Image Animation with Motion Guidance](https://huggingface.co/papers/2311.12886) (2023)\n* [Controllable Human-Object Interaction Synthesis](https://huggingface.co/papers/2312.03913) (2023)\n* [OmniMotionGPT: Animal Motion Generation with Limited Data](https://huggingface.co/papers/2311.18303) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17142", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency](https://huggingface.co/papers/2312.17225) (2023)\n* [Consistent4D: Consistent 360\u00b0 Dynamic Object Generation from Monocular Video](https://huggingface.co/papers/2311.02848) (2023)\n* [CAD: Photorealistic 3D Generation via Adversarial Distillation](https://huggingface.co/papers/2312.06663) (2023)\n* [GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning](https://huggingface.co/papers/2312.11461) (2023)\n* [AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text](https://huggingface.co/papers/2311.17917) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17161", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Personalized Restoration via Dual-Pivot Tuning](https://huggingface.co/papers/2312.17234) (2023)\n* [Towards Real-World Blind Face Restoration with Generative Diffusion Prior](https://huggingface.co/papers/2312.15736) (2023)\n* [UGPNet: Universal Generative Prior for Image Restoration](https://huggingface.co/papers/2401.00370) (2023)\n* [Deep Equilibrium Diffusion Restoration with Parallel Sampling](https://huggingface.co/papers/2311.11600) (2023)\n* [FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration](https://huggingface.co/papers/2311.15445) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17172", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation](https://huggingface.co/papers/2312.09251) (2023)\n* [Multitask Multimodal Prompted Training for Interactive Embodied Task Completion](https://huggingface.co/papers/2311.04067) (2023)\n* [4M: Massively Multimodal Masked Modeling](https://huggingface.co/papers/2312.06647) (2023)\n* [Towards More Unified In-context Visual Understanding](https://huggingface.co/papers/2312.02520) (2023)\n* [C3Net: Compound Conditioned ControlNet for Multimodal Content Generation](https://huggingface.co/papers/2311.17951) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17241", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Efficient Encoding of Graphics Primitives with Simplex-based Structures](https://huggingface.co/papers/2311.15439) (2023)\n* [Coordinate-Aware Modulation for Neural Fields](https://huggingface.co/papers/2311.14993) (2023)\n* [ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization](https://huggingface.co/papers/2311.13171) (2023)\n* [Experimental Analysis of Large-scale Learnable Vector Storage Compression](https://huggingface.co/papers/2311.15578) (2023)\n* [Compact 3D Scene Representation via Self-Organizing Gaussian Grids](https://huggingface.co/papers/2312.13299) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17243", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation](https://huggingface.co/papers/2311.14665) (2023)\n* [Towards Granularity-adjusted Pixel-level Semantic Annotation](https://huggingface.co/papers/2312.02420) (2023)\n* [A Lightweight Clustering Framework for Unsupervised Semantic Segmentation](https://huggingface.co/papers/2311.18628) (2023)\n* [Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics](https://huggingface.co/papers/2311.06654) (2023)\n* [Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels](https://huggingface.co/papers/2312.17232) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17244", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models](https://huggingface.co/papers/2311.04902) (2023)\n* [PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs](https://huggingface.co/papers/2312.15230) (2023)\n* [ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization](https://huggingface.co/papers/2311.13171) (2023)\n* [How Does Calibration Data Affect the Post-training Pruning and Quantization of Large Language Models?](https://huggingface.co/papers/2311.09755) (2023)\n* [Fluctuation-based Adaptive Structured Pruning for Large Language Models](https://huggingface.co/papers/2312.11983) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17276", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment](https://huggingface.co/papers/2312.12148) (2023)\n* [Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention](https://huggingface.co/papers/2312.08618) (2023)\n* [Large Language Models Meet Computer Vision: A Brief Survey](https://huggingface.co/papers/2311.16673) (2023)\n* [Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts](https://huggingface.co/papers/2312.00968) (2023)\n* [FMViT: A multiple-frequency mixing Vision Transformer](https://huggingface.co/papers/2311.05707) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17653", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models](https://huggingface.co/papers/2311.05997) (2023)\n* [Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game](https://huggingface.co/papers/2312.17515) (2023)\n* [See and Think: Embodied Agent in Virtual Environment](https://huggingface.co/papers/2311.15209) (2023)\n* [Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games](https://huggingface.co/papers/2312.00746) (2023)\n* [Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives](https://huggingface.co/papers/2312.11970) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17661", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [InfiMM-Eval: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models](https://huggingface.co/papers/2311.11567) (2023)\n* [TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models](https://huggingface.co/papers/2311.17667) (2023)\n* [A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise](https://huggingface.co/papers/2312.12436) (2023)\n* [Beyond Text: Unveiling Multimodal Proficiency of Large Language Models with MultiAPI Benchmark](https://huggingface.co/papers/2311.13053) (2023)\n* [Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models](https://huggingface.co/papers/2312.01714) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17681", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers](https://huggingface.co/papers/2312.12468) (2023)\n* [MoVideo: Motion-Aware Video Generation with Diffusion Models](https://huggingface.co/papers/2311.11325) (2023)\n* [Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis](https://huggingface.co/papers/2312.13834) (2023)\n* [VidToMe: Video Token Merging for Zero-Shot Video Editing](https://huggingface.co/papers/2312.10656) (2023)\n* [Highly Detailed and Temporal Consistent Video Stylization via Synchronized Multi-Frame Diffusion](https://huggingface.co/papers/2311.14343) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2312.17742", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Diversified in-domain synthesis with efficient fine-tuning for few-shot classification](https://huggingface.co/papers/2312.03046) (2023)\n* [Scaling Laws of Synthetic Images for Model Training ... for Now](https://huggingface.co/papers/2312.04567) (2023)\n* [Improve Supervised Representation Learning with Masked Image Modeling](https://huggingface.co/papers/2312.00950) (2023)\n* [Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images](https://huggingface.co/papers/2312.02253) (2023)\n* [MLLMs-Augmented Visual-Language Representation Learning](https://huggingface.co/papers/2311.18765) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2401.00134", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment](https://huggingface.co/papers/2312.03549) (2023)\n* [An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training](https://huggingface.co/papers/2312.11819) (2023)\n* [vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model Training](https://huggingface.co/papers/2312.12391) (2023)\n* [Confidant: Customizing Transformer-based LLMs via Collaborative Edge Training](https://huggingface.co/papers/2311.13381) (2023)\n* [Efficient Parallelization Layouts for Large-Scale Distributed Model Training](https://huggingface.co/papers/2311.05610) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2401.00246", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [An Integration of Pre-Trained Speech and Language Models for End-to-End Speech Recognition](https://huggingface.co/papers/2312.03668) (2023)\n* [Towards General-Purpose Speech Abilities for Large Language Models Using Unpaired Data](https://huggingface.co/papers/2311.06753) (2023)\n* [Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models](https://huggingface.co/papers/2311.07919) (2023)\n* [Audiobox: Unified Audio Generation with Natural Language Prompts](https://huggingface.co/papers/2312.15821) (2023)\n* [ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations](https://huggingface.co/papers/2312.14398) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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+{"paper_url": "https://huggingface.co/papers/2401.00368", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Making Large Language Models A Better Foundation For Dense Retrieval](https://huggingface.co/papers/2312.15503) (2023)\n* [Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval](https://huggingface.co/papers/2311.05800) (2023)\n* [JaColBERT and Hard Negatives, Towards Better Japanese-First Embeddings for Retrieval: Early Technical Report](https://huggingface.co/papers/2312.16144) (2023)\n* [RankingGPT: Empowering Large Language Models in Text Ranking with Progressive Enhancement](https://huggingface.co/papers/2311.16720) (2023)\n* [Noisy Self-Training with Synthetic Queries for Dense Retrieval](https://huggingface.co/papers/2311.15563) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2401.00434.json b/data/2401.00434.json
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+++ b/data/2401.00434.json
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+{"paper_url": "https://huggingface.co/papers/2401.00434", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [From Beginner to Expert: Modeling Medical Knowledge into General LLMs](https://huggingface.co/papers/2312.01040) (2023)\n* [EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data](https://huggingface.co/papers/2312.15696) (2023)\n* [L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models](https://huggingface.co/papers/2311.06493) (2023)\n* [nach0: Multimodal Natural and Chemical Languages Foundation Model](https://huggingface.co/papers/2311.12410) (2023)\n* [Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs](https://huggingface.co/papers/2312.05934) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2401.00448.json b/data/2401.00448.json
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index 0000000000000000000000000000000000000000..3de89fcb2fc6fe7b220f235171a15704eccdcb19
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+++ b/data/2401.00448.json
@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2401.00448", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Learning to Skip for Language Modeling](https://huggingface.co/papers/2311.15436) (2023)\n* [Large Language Model Inference with Lexical Shortlisting](https://huggingface.co/papers/2311.09709) (2023)\n* [Non-Vacuous Generalization Bounds for Large Language Models](https://huggingface.co/papers/2312.17173) (2023)\n* [Splitwise: Efficient generative LLM inference using phase splitting](https://huggingface.co/papers/2311.18677) (2023)\n* [How Does Calibration Data Affect the Post-training Pruning and Quantization of Large Language Models?](https://huggingface.co/papers/2311.09755) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2401.00604.json b/data/2401.00604.json
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index 0000000000000000000000000000000000000000..4c8d06b94156a1620faa3a088a8a2aba4a573a3e
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+++ b/data/2401.00604.json
@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2401.00604", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Text-Image Conditioned Diffusion for Consistent Text-to-3D Generation](https://huggingface.co/papers/2312.11774) (2023)\n* [Stable Score Distillation for High-Quality 3D Generation](https://huggingface.co/papers/2312.09305) (2023)\n* [HeadArtist: Text-conditioned 3D Head Generation with Self Score Distillation](https://huggingface.co/papers/2312.07539) (2023)\n* [StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D](https://huggingface.co/papers/2312.02189) (2023)\n* [LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching](https://huggingface.co/papers/2311.11284) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2401.00788.json b/data/2401.00788.json
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index 0000000000000000000000000000000000000000..1194acd9eb59f5af66a23ecb67fa006c86b89d01
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+++ b/data/2401.00788.json
@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2401.00788", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks](https://huggingface.co/papers/2312.15614) (2023)\n* [WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation](https://huggingface.co/papers/2312.14187) (2023)\n* [MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks](https://huggingface.co/papers/2312.15960) (2023)\n* [Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper](https://huggingface.co/papers/2311.13126) (2023)\n* [A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends](https://huggingface.co/papers/2311.10372) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
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diff --git a/data/2401.00849.json b/data/2401.00849.json
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index 0000000000000000000000000000000000000000..8be17c426ef438d9fdab83c15f513d540b5babb8
--- /dev/null
+++ b/data/2401.00849.json
@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2401.00849", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MLLMs-Augmented Visual-Language Representation Learning](https://huggingface.co/papers/2311.18765) (2023)\n* [InfMLLM: A Unified Framework for Visual-Language Tasks](https://huggingface.co/papers/2311.06791) (2023)\n* [Generative Multimodal Models are In-Context Learners](https://huggingface.co/papers/2312.13286) (2023)\n* [X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning](https://huggingface.co/papers/2311.18799) (2023)\n* [Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding](https://huggingface.co/papers/2311.15075) (2023)\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
\ No newline at end of file
diff --git a/data/2401.10020.json b/data/2401.10020.json
new file mode 100644
index 0000000000000000000000000000000000000000..1eb1ec229ec8628fa3704c9deb21cb0acf52663b
--- /dev/null
+++ b/data/2401.10020.json
@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2401.10020", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking](https://huggingface.co/papers/2312.09244) (2023)\n* [Aligning Large Language Models with Human Preferences through Representation Engineering](https://huggingface.co/papers/2312.15997) (2023)\n* [DRLC: Reinforcement Learning with Dense Rewards from LLM Critic](https://huggingface.co/papers/2401.07382) (2024)\n* [Secrets of RLHF in Large Language Models Part II: Reward Modeling](https://huggingface.co/papers/2401.06080) (2024)\n* [Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language](https://huggingface.co/papers/2311.14543) (2023)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space"}
\ No newline at end of file