librarian-bot
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Browse files- data/2401.12244.json +1 -0
- data/2401.12246.json +1 -0
- data/2401.12474.json +1 -0
- data/2401.12503.json +1 -0
- data/2401.12522.json +1 -0
- data/2401.12789.json +1 -0
- data/2401.12945.json +1 -0
- data/2401.12954.json +1 -0
- data/2401.12963.json +1 -0
- data/2401.12979.json +1 -0
data/2401.12244.json
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{"paper_url": "https://huggingface.co/papers/2401.12244", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Enhancing Diffusion Models with Text-Encoder Reinforcement Learning](https://huggingface.co/papers/2311.15657) (2023)\n* [Iterative Prompt Relabeling for diffusion model with RLDF](https://huggingface.co/papers/2312.16204) (2023)\n* [Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation](https://huggingface.co/papers/2401.05675) (2024)\n* [InstructVideo: Instructing Video Diffusion Models with Human Feedback](https://huggingface.co/papers/2312.12490) (2023)\n* [DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models](https://huggingface.co/papers/2312.14216) (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"}
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data/2401.12246.json
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{"paper_url": "https://huggingface.co/papers/2401.12246", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [TeleChat Technical Report](https://huggingface.co/papers/2401.03804) (2024)\n* [DeepSeek LLM: Scaling Open-Source Language Models with Longtermism](https://huggingface.co/papers/2401.02954) (2024)\n* [PersianMind: A Cross-Lingual Persian-English Large Language Model](https://huggingface.co/papers/2401.06466) (2024)\n* [YAYI 2: Multilingual Open-Source Large Language Models](https://huggingface.co/papers/2312.14862) (2023)\n* [LLaMA Beyond English: An Empirical Study on Language Capability Transfer](https://huggingface.co/papers/2401.01055) (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"}
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data/2401.12474.json
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{"paper_url": "https://huggingface.co/papers/2401.12474", "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* [CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation](https://huggingface.co/papers/2401.01275) (2024)\n* [RoleEval: A Bilingual Role Evaluation Benchmark for Large Language Models](https://huggingface.co/papers/2312.16132) (2023)\n* [CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models](https://huggingface.co/papers/2311.16832) (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* [RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models](https://huggingface.co/papers/2401.09432) (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"}
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data/2401.12503.json
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{"paper_url": "https://huggingface.co/papers/2401.12503", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models](https://huggingface.co/papers/2312.06109) (2023)\n* [LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models](https://huggingface.co/papers/2312.02949) (2023)\n* [Osprey: Pixel Understanding with Visual Instruction Tuning](https://huggingface.co/papers/2312.10032) (2023)\n* [MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices](https://huggingface.co/papers/2312.16886) (2023)\n* [VILA: On Pre-training for Visual Language Models](https://huggingface.co/papers/2312.07533) (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"}
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data/2401.12522.json
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{"paper_url": "https://huggingface.co/papers/2401.12522", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding](https://huggingface.co/papers/2401.07851) (2024)\n* [Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads](https://huggingface.co/papers/2401.10774) (2024)\n* [Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy](https://huggingface.co/papers/2312.12728) (2023)\n* [APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding](https://huggingface.co/papers/2401.06761) (2024)\n* [Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks](https://huggingface.co/papers/2401.02731) (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"}
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data/2401.12789.json
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{"paper_url": "https://huggingface.co/papers/2401.12789", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Keep Decoding Parallel with Effective Knowledge Distillation from Language Models to End-to-end Speech Recognisers](https://huggingface.co/papers/2401.11700) (2024)\n* [Boosting Large Language Model for Speech Synthesis: An Empirical Study](https://huggingface.co/papers/2401.00246) (2023)\n* [USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models](https://huggingface.co/papers/2312.08553) (2023)\n* [Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR](https://huggingface.co/papers/2401.08992) (2024)\n* [Improved Long-Form Speech Recognition By Jointly Modeling The Primary And Non-Primary Speakers](https://huggingface.co/papers/2312.11123) (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"}
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data/2401.12945.json
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{"paper_url": "https://huggingface.co/papers/2401.12945", "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* [Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution](https://huggingface.co/papers/2401.10404) (2024)\n* [Photorealistic Video Generation with Diffusion Models](https://huggingface.co/papers/2312.06662) (2023)\n* [Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer](https://huggingface.co/papers/2311.17009) (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* [VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models](https://huggingface.co/papers/2312.00845) (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"}
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data/2401.12954.json
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{"paper_url": "https://huggingface.co/papers/2401.12954", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges](https://huggingface.co/papers/2401.08664) (2023)\n* [Small LLMs Are Weak Tool Learners: A Multi-LLM Agent](https://huggingface.co/papers/2401.07324) (2024)\n* [From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting](https://huggingface.co/papers/2401.05384) (2023)\n* [T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step](https://huggingface.co/papers/2312.14033) (2023)\n* [Universal Self-Consistency for Large Language Model Generation](https://huggingface.co/papers/2311.17311) (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"}
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data/2401.12963.json
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{"paper_url": "https://huggingface.co/papers/2401.12963", "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* [RePLan: Robotic Replanning with Perception and Language Models](https://huggingface.co/papers/2401.04157) (2024)\n* [Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning](https://huggingface.co/papers/2311.17842) (2023)\n* [Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans](https://huggingface.co/papers/2312.00775) (2023)\n* [QUAR-VLA: Vision-Language-Action Model for Quadruped Robots](https://huggingface.co/papers/2312.14457) (2023)\n* [Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks](https://huggingface.co/papers/2312.06876) (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"}
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data/2401.12979.json
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{"paper_url": "https://huggingface.co/papers/2401.12979", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [HumanCoser: Layered 3D Human Generation via Semantic-Aware Diffusion Model](https://huggingface.co/papers/2312.05804) (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* [SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion](https://huggingface.co/papers/2311.15855) (2023)\n* [SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction](https://huggingface.co/papers/2312.06704) (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"}
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