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data/2403.10615.json

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+{"paper_url": "https://huggingface.co/papers/2403.10615", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation](https://huggingface.co/papers/2402.11929) (2024)\n* [ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models](https://huggingface.co/papers/2403.01807) (2024)\n* [Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image](https://huggingface.co/papers/2403.09632) (2024)\n* [FlashTex: Fast Relightable Mesh Texturing with LightControlNet](https://huggingface.co/papers/2402.13251) (2024)\n* [Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis](https://huggingface.co/papers/2402.18078) (2024)\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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2403.10616.json

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+{"paper_url": "https://huggingface.co/papers/2403.10616", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [CO2: Efficient Distributed Training with Full Communication-Computation Overlap](https://huggingface.co/papers/2401.16265) (2024)\n* [Training Neural Networks from Scratch with Parallel Low-Rank Adapters](https://huggingface.co/papers/2402.16828) (2024)\n* [MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs](https://huggingface.co/papers/2402.15627) (2024)\n* [LocMoE: A Low-overhead MoE for Large Language Model Training](https://huggingface.co/papers/2401.13920) (2024)\n* [Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference](https://huggingface.co/papers/2403.09636) (2024)\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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2403.11207.json

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+{"paper_url": "https://huggingface.co/papers/2403.11207", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [See Through Their Minds: Learning Transferable Neural Representation from Cross-Subject fMRI](https://huggingface.co/papers/2403.06361) (2024)\n* [NeuralDiffuser: Controllable fMRI Reconstruction with Primary Visual Feature Guided Diffusion](https://huggingface.co/papers/2402.13809) (2024)\n* [Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion](https://huggingface.co/papers/2403.07721) (2024)\n* [NeuroCine: Decoding Vivid Video Sequences from Human Brain Activties](https://huggingface.co/papers/2402.01590) (2024)\n* [CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding](https://huggingface.co/papers/2402.08994) (2024)\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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2403.11481.json

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+{"paper_url": "https://huggingface.co/papers/2403.11481", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Question-Instructed Visual Descriptions for Zero-Shot Video Question Answering](https://huggingface.co/papers/2402.10698) (2024)\n* [Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers](https://huggingface.co/papers/2402.19479) (2024)\n* [LSTP: Language-guided Spatial-Temporal Prompt Learning for Long-form Video-Text Understanding](https://huggingface.co/papers/2402.16050) (2024)\n* [Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning](https://huggingface.co/papers/2402.11435) (2024)\n* [LVCHAT: Facilitating Long Video Comprehension](https://huggingface.co/papers/2402.12079) (2024)\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\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}