Scheduled Commit

data/2309.10020.json

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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"}

data/2309.10150.json

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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"}

data/2309.10202.json

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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"}

data/2309.10279.json

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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"}

data/2309.10305.json

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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"}

data/2309.10537.json

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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"}

data/2309.10668.json

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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"}

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"}

data/2309.10818.json

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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"}

data/2309.10917.json

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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"}

data/2309.10952.json

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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"}

data/2309.11009.json

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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"}

data/2309.11197.json

@@ -0,0 +1 @@
+{"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"}

data/2309.11419.json

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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"}

data/2309.11495.json

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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"}

data/2309.11497.json

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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"}

data/2309.11499.json

@@ -0,0 +1 @@
+{"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"}

data/2309.11500.json

@@ -0,0 +1 @@
+{"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"}

data/2309.11523.json

@@ -0,0 +1 @@
+{"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"}

data/2309.11568.json

@@ -0,0 +1 @@
+{"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"}

data/2309.11674.json

@@ -0,0 +1 @@
+{"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"}

data/2309.11998.json

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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"}

data/2309.12207.json

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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"}

data/2309.12284.json

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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"}

data/2309.12307.json

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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"}

data/2309.12311.json

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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"}

data/2309.13356.json

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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"}

data/2309.15251.json

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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"}

data/2309.15273.json

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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"}

data/2309.15426.json

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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"}

data/2309.15505.json

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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"}

data/2309.15807.json

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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"}

data/2309.15818.json

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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"}

data/2310.00426.json

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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"}

data/2310.00704.json

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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"}