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data/2403.07918.json

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+{"paper_url": "https://huggingface.co/papers/2403.07918", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/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 Reasoning Under Uncertainty Trap: A Structural AI Risk](https://huggingface.co/papers/2402.01743) (2024)\n* [Copyleft for Alleviating AIGC Copyright Dilemma: What-if Analysis, Public Perception and Implications](https://huggingface.co/papers/2402.12216) (2024)\n* [Interoperability of the Metaverse: A Digital Ecosystem Perspective Review](https://huggingface.co/papers/2403.05205) (2024)\n* [Retail Central Bank Digital Currency: Motivations, Opportunities, and Mistakes](https://huggingface.co/papers/2403.07070) (2024)\n* [Incentive Compatibility for AI Alignment in Sociotechnical Systems: Positions and Prospects](https://huggingface.co/papers/2402.12907) (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/2403.08268.json

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+{"paper_url": "https://huggingface.co/papers/2403.08268", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling](https://huggingface.co/papers/2401.15977) (2024)\n* [Pix2Gif: Motion-Guided Diffusion for GIF Generation](https://huggingface.co/papers/2403.04634) (2024)\n* [AtomoVideo: High Fidelity Image-to-Video Generation](https://huggingface.co/papers/2403.01800) (2024)\n* [Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation](https://huggingface.co/papers/2403.02827) (2024)\n* [VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models](https://huggingface.co/papers/2403.05438) (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/2403.08295.json

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+{"paper_url": "https://huggingface.co/papers/2403.08295", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [OLMo: Accelerating the Science of Language Models](https://huggingface.co/papers/2402.00838) (2024)\n* [Airavata: Introducing Hindi Instruction-tuned LLM](https://huggingface.co/papers/2401.15006) (2024)\n* [H2O-Danube-1.8B Technical Report](https://huggingface.co/papers/2401.16818) (2024)\n* [PHOENIX: Open-Source Language Adaption for Direct Preference Optimization](https://huggingface.co/papers/2401.10580) (2024)\n* [DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning](https://huggingface.co/papers/2402.09136) (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/2403.08540.json

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+{"paper_url": "https://huggingface.co/papers/2403.08540", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/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 Laws for Downstream Task Performance of Large Language Models](https://huggingface.co/papers/2402.04177) (2024)\n* [Selecting Large Language Model to Fine-tune via Rectified Scaling Law](https://huggingface.co/papers/2402.02314) (2024)\n* [Unraveling the Mystery of Scaling Laws: Part I](https://huggingface.co/papers/2403.06563) (2024)\n* [Scaling Laws for Fine-Grained Mixture of Experts](https://huggingface.co/papers/2402.07871) (2024)\n* [Algorithmic progress in language models](https://huggingface.co/papers/2403.05812) (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/2403.08551.json

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+{"paper_url": "https://huggingface.co/papers/2403.08551", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/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 Neural Representations for Videos with a Conditional Decoder](https://huggingface.co/papers/2402.18152) (2024)\n* [NERV++: An Enhanced Implicit Neural Video Representation](https://huggingface.co/papers/2402.18305) (2024)\n* [EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction](https://huggingface.co/papers/2401.12561) (2024)\n* [4D Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes](https://huggingface.co/papers/2402.03307) (2024)\n* [3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos](https://huggingface.co/papers/2403.01444) (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/2403.08629.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2403.08629", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [RoHM: Robust Human Motion Reconstruction via Diffusion](https://huggingface.co/papers/2401.08570) (2024)\n* [EgoGen: An Egocentric Synthetic Data Generator](https://huggingface.co/papers/2401.08739) (2024)\n* [Seamless Human Motion Composition with Blended Positional Encodings](https://huggingface.co/papers/2402.15509) (2024)\n* [ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions](https://huggingface.co/papers/2401.10232) (2024)\n* [MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation](https://huggingface.co/papers/2401.11115) (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/2403.08715.json

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+{"paper_url": "https://huggingface.co/papers/2403.08715", "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* [Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs](https://huggingface.co/papers/2403.05020) (2024)\n* [Self-Rewarding Language Models](https://huggingface.co/papers/2401.10020) (2024)\n* [Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards](https://huggingface.co/papers/2403.07708) (2024)\n* [Academically intelligent LLMs are not necessarily socially intelligent](https://huggingface.co/papers/2403.06591) (2024)\n* [Large Language Model-based Human-Agent Collaboration for Complex Task Solving](https://huggingface.co/papers/2402.12914) (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/2403.08763.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2403.08763", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling](https://huggingface.co/papers/2401.16380) (2024)\n* [Long-Context Language Modeling with Parallel Context Encoding](https://huggingface.co/papers/2402.16617) (2024)\n* [GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection](https://huggingface.co/papers/2403.03507) (2024)\n* [H2O-Danube-1.8B Technical Report](https://huggingface.co/papers/2401.16818) (2024)\n* [Data Engineering for Scaling Language Models to 128K Context](https://huggingface.co/papers/2402.10171) (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/2403.08764.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2403.08764", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [EMO: Emote Portrait Alive -- Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions](https://huggingface.co/papers/2402.17485) (2024)\n* [Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance](https://huggingface.co/papers/2401.15687) (2024)\n* [Context-aware Talking Face Video Generation](https://huggingface.co/papers/2402.18092) (2024)\n* [One2Avatar: Generative Implicit Head Avatar For Few-shot User Adaptation](https://huggingface.co/papers/2402.11909) (2024)\n* [Magic-Me: Identity-Specific Video Customized Diffusion](https://huggingface.co/papers/2402.09368) (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`"}