HuggingFace 每日AI论文速递

2025.01.09 每日AI论文 | 小型模型自我进化超越GPT-3,多模态模型提升数学推理能力。


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本期的 11 篇论文如下:

[00:25] 🧠 rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking(rStar-Math:小型语言模型通过自我进化的深度思考掌握数学推理)

[01:06] 🧠 URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics(URSA:理解与验证多模态数学中的思维链推理)

[01:45] 🧠 Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though(迈向LLMs中的系统2推理:学习如何通过元思维链进行思考)

[02:25] 🔬 Agent Laboratory: Using LLM Agents as Research Assistants(智能体实验室:利用LLM智能体作为研究助手)

[03:02] 🔬 LLM4SR: A Survey on Large Language Models for Scientific Research(LLM4SR:大语言模型在科学研究中的应用综述)

[03:44] 🔍 GeAR: Generation Augmented Retrieval(生成增强检索)

[04:22] 🤖 InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection(InfiGUIAgent:具备原生推理与反思能力的多模态通用GUI代理)

[05:02] 🐦 Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation(Chirpy3D:基于连续部件潜变量的创造性3D鸟类生成)

[05:41] 🖼 SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images(SPAR3D:基于单图像的稳定点感知三维物体重建)

[06:17] 🧠 DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization(DPO核:一种语义感知、核增强且富含散度的直接偏好优化范式)

[06:55] 🌳 EpiCoder: Encompassing Diversity and Complexity in Code Generation(EpiCoder:在代码生成中涵盖多样性与复杂性)

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HuggingFace 每日AI论文速递By duan