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data/2401.08417.json

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+{"paper_url": "https://huggingface.co/papers/2401.08417", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/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 Boosting Many-to-Many Multilingual Machine Translation with Large Language Models](https://huggingface.co/papers/2401.05861) (2024)\n* [Adapting Large Language Models for Document-Level Machine Translation](https://huggingface.co/papers/2401.06468) (2024)\n* [Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages](https://huggingface.co/papers/2401.05811) (2024)\n* [Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation](https://huggingface.co/papers/2401.06688) (2024)\n* [Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models](https://huggingface.co/papers/2401.08350) (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"}

data/2401.08671.json

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+{"paper_url": "https://huggingface.co/papers/2401.08671", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Splitwise: Efficient generative LLM inference using phase splitting](https://huggingface.co/papers/2311.18677) (2023)\n* [Stateful Large Language Model Serving with Pensieve](https://huggingface.co/papers/2312.05516) (2023)\n* [DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving](https://huggingface.co/papers/2401.09670) (2024)\n* [Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache](https://huggingface.co/papers/2401.02669) (2024)\n* [Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems](https://huggingface.co/papers/2312.15234) (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"}

data/2401.08740.json

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+{"paper_url": "https://huggingface.co/papers/2401.08740", "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* [DiffiT: Diffusion Vision Transformers for Image Generation](https://huggingface.co/papers/2312.02139) (2023)\n* [Diffusion Models Without Attention](https://huggingface.co/papers/2311.18257) (2023)\n* [One-Step Diffusion Distillation via Deep Equilibrium Models](https://huggingface.co/papers/2401.08639) (2023)\n* [Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation](https://huggingface.co/papers/2311.15996) (2023)\n* [Boosting Latent Diffusion with Flow Matching](https://huggingface.co/papers/2312.07360) (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"}

data/2401.08937.json

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+{"paper_url": "https://huggingface.co/papers/2401.08937", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [COLMAP-Free 3D Gaussian Splatting](https://huggingface.co/papers/2312.07504) (2023)\n* [CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning](https://huggingface.co/papers/2312.08760) (2023)\n* [SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM](https://huggingface.co/papers/2312.02126) (2023)\n* [Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis](https://huggingface.co/papers/2311.17634) (2023)\n* [NeRF-VO: Real-Time Sparse Visual Odometry with Neural Radiance Fields](https://huggingface.co/papers/2312.13471) (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"}

data/2401.08967.json

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+{"paper_url": "https://huggingface.co/papers/2401.08967", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/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 Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint](https://huggingface.co/papers/2401.06081) (2024)\n* [Boosting LLM Reasoning: Push the Limits of Few-shot Learning with Reinforced In-Context Pruning](https://huggingface.co/papers/2312.08901) (2023)\n* [Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations](https://huggingface.co/papers/2312.08935) (2023)\n* [Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models](https://huggingface.co/papers/2312.06585) (2023)\n* [MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible Pipeline](https://huggingface.co/papers/2401.08190) (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"}

data/2401.09047.json

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+{"paper_url": "https://huggingface.co/papers/2401.09047", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [AnimateZero: Video Diffusion Models are Zero-Shot Image Animators](https://huggingface.co/papers/2312.03793) (2023)\n* [A Recipe for Scaling up Text-to-Video Generation with Text-free Videos](https://huggingface.co/papers/2312.15770) (2023)\n* [VideoDrafter: Content-Consistent Multi-Scene Video Generation with LLM](https://huggingface.co/papers/2401.01256) (2024)\n* [Smooth Video Synthesis with Noise Constraints on Diffusion Models for One-shot Video Tuning](https://huggingface.co/papers/2311.17536) (2023)\n* [Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions](https://huggingface.co/papers/2401.01827) (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"}

data/2401.09048.json

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+{"paper_url": "https://huggingface.co/papers/2401.09048", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Layered Rendering Diffusion Model for Zero-Shot Guided Image Synthesis](https://huggingface.co/papers/2311.18435) (2023)\n* [Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis](https://huggingface.co/papers/2311.17126) (2023)\n* [CoSeR: Bridging Image and Language for Cognitive Super-Resolution](https://huggingface.co/papers/2311.16512) (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* [Unlocking Spatial Comprehension in Text-to-Image Diffusion Models](https://huggingface.co/papers/2311.17937) (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"}

data/2401.09084.json

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+{"paper_url": "https://huggingface.co/papers/2401.09084", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/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* [Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions](https://huggingface.co/papers/2401.01827) (2024)\n* [VideoAssembler: Identity-Consistent Video Generation with Reference Entities using Diffusion Model](https://huggingface.co/papers/2311.17338) (2023)\n* [VideoPoet: A Large Language Model for Zero-Shot Video Generation](https://huggingface.co/papers/2312.14125) (2023)\n* [Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://huggingface.co/papers/2311.17117) (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"}

data/2401.09135.json

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+{"paper_url": "https://huggingface.co/papers/2401.09135", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/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 We Learn Communication-Efficient Optimizers?](https://huggingface.co/papers/2312.02204) (2023)\n* [Ravnest: Decentralized Asynchronous Training on Heterogeneous Devices](https://huggingface.co/papers/2401.01728) (2024)\n* [ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-order Optimization](https://huggingface.co/papers/2312.15184) (2023)\n* [DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations](https://huggingface.co/papers/2312.10815) (2023)\n* [MADA: Meta-Adaptive Optimizers through hyper-gradient Descent](https://huggingface.co/papers/2401.08893) (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"}

data/2401.09340.json

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+{"paper_url": "https://huggingface.co/papers/2401.09340", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding](https://huggingface.co/papers/2401.03201) (2024)\n* [Chat-3D v2: Bridging 3D Scene and Large Language Models with Object Identifiers](https://huggingface.co/papers/2312.08168) (2023)\n* [LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding](https://huggingface.co/papers/2312.14074) (2023)\n* [EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI](https://huggingface.co/papers/2312.16170) (2023)\n* [M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts](https://huggingface.co/papers/2312.10763) (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"}

data/2401.09417.json

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+{"paper_url": "https://huggingface.co/papers/2401.09417", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [VMamba: Visual State Space Model](https://huggingface.co/papers/2401.10166) (2024)\n* [EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything](https://huggingface.co/papers/2312.00863) (2023)\n* [Rejuvenating image-GPT as Strong Visual Representation Learners](https://huggingface.co/papers/2312.02147) (2023)\n* [Mamba: Linear-Time Sequence Modeling with Selective State Spaces](https://huggingface.co/papers/2312.00752) (2023)\n* [Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost](https://huggingface.co/papers/2312.08614) (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"}

data/2401.09419.json

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+{"paper_url": "https://huggingface.co/papers/2401.09419", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/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* [FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding](https://huggingface.co/papers/2401.01970) (2024)\n* [Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields](https://huggingface.co/papers/2312.03203) (2023)\n* [Slot-guided Volumetric Object Radiance Fields](https://huggingface.co/papers/2401.02241) (2024)\n* [Segment Any 3D Gaussians](https://huggingface.co/papers/2312.00860) (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"}