A repo lists papers related to LLM based agent
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最后更新时间:2025/7/12
这是一个整理了与基于 LLM 的 Agent(智能体)相关论文的仓库。涵盖范围包括:
为了获得更全面的阅读体验,我们也推荐以下论文列表:
[2025/06/10] Measuring Data Science Automation: A Survey of Evaluation Tools for AI Assistants and Agents | [paper] | [code]
[2025/06/06] Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey | [paper] | [code]
[2025/05/27] Creativity in LLM-based Multi-Agent Systems: A Survey | [paper] | [code]
[2025/05/24] Multi-Party Conversational Agents: A Survey | [paper] | [code]
[2025/05/16] A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron? | [paper] | [code]
[2025/05/02] AI agents may be worth the hype but not the resources (yet): An initial exploration of machine translation quality and costs in three language pairs in the legal and news domains | [paper] | [code]
[2025/05/01] A Survey on Large Language Model based Human-Agent Systems | [paper] | [code]
[2025/04/30] Humanizing LLMs: A Survey of Psychological Measurements with Tools, Datasets, and Human-Agent Applications | [paper] | [code]
[2025/04/22] A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment | [paper] | [code]
[2025/04/20] Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey | [paper] | [code]
[2025/04/14] A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science | [paper] | [code]
[2025/04/12] A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems | [paper] | [code]
[2025/03/28] Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey | [paper] | [code]
[2025/03/27] Large Language Model Agent: A Survey on Methodology, Applications and Challenges | [paper] | [code]
[2025/03/27] A Survey on (M)LLM-Based GUI Agents | [paper] | [code]
[2025/03/24] A Survey of Large Language Model Agents for Question Answering | [paper] | [code]
LLM-Agents-Papers 是一个致力于汇集大语言模型智能体领域高质量研究论文的开源知识库。该项目通过对海量学术资源进行系统性梳理,帮助开发者和研究者快速掌握智能体技术的前沿进展与核心方法论。
项目收录了涵盖规划能力、记忆机制、反馈与反思及检索增强生成等核心增强技术的学术论文。详细整理了角色扮演、工具使用及多智能体协作等复杂交互模式的研究成果。全面涵盖了从基础理论、算法训练到特定垂直行业应用的广泛研究方向。系统归纳了智能体评估基准、数据集构建及安全性与稳定性分析等基础设施建设相关文献。
该项目适用于从事人工智能研究的学者、算法工程师以及对大模型智能体开发感兴趣的技术人员,是构建和优化智能体系统时查阅学术理论与落地案例的理想参考资料库。