LLM Agents Papers

Must-read Papers on Large Language Model Agents.

---

"Here are some other paper lists you might be interested in:

💡 Prompt4ReasoningPapers: Reasoning with Language Model Prompting Papers.

🔬 KnowledgeEditingPapers: Must-read papers on knowledge editing for large language models.

We sincerely invite you to dive into these collections of papers and resources, each offering a distinct journey of exploration and discovery. :partying_face:”

🔔 News

• [2024-03] We release a new paper: "KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents".
• [2023-06] We create this repository to maintain a paper list on Multi-agents.

📜Content

• LLM Agents Papers
  • 🔔 News
  • 📜Content
  • 🌄 Papers
    • Overview
    • 🤖 Agent
      • Personality. 🧛🧙
      • Memory. 💭💫
      • Planning. 🧩♟️
      • Tool use. 👩‍🔧🔧
      • RL training. 🧠📈
    • 🤖💬🤖 Multiple Agents
      • Task-Oriented Communication
        • Collaborative Exchanges 👨‍💻👩‍💻
        • Adversarial Interactions 👨🏻‍🦳🗣
      • Casual/Open Conversations 👥💬
    • 🪐 Application
    • 🖼️ Framework
    • 🔖 Others
  • 🧰 Resources
    • Benchmarks
    • Types of Tools
    • 📜 Tool List
  • 🎉 Contribution
    • Contributing to this paper list
    • Contributors

---

🌄 Papers

Overview

1. Interactive Natural Language Processing

   Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yike Guo, Jie Fu. [abs], 2023.5

2. A Survey on Large Language Model based Autonomous Agents

   Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen. [abs], 2023.8

3. The Rise and Potential of Large Language Model Based Agents: A Survey

   Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huang, Tao Gui. [abs], 2023.9

4. If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents

   Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R. Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, Heng Ji, Chengxiang Zhai. [abs], 2024.1

5. Agent AI: Surveying the Horizons of Multimodal Interaction

   Zane Durante, Qiuyuan Huang, Naoki Wake, Ran Gong, Jae Sung Park, Bidipta Sarkar, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Yejin Choi, Katsushi Ikeuchi, Hoi Vo, Li Fei-Fei, Jianfeng Gao. [abs], 2024.1

6. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

   Yuanchun Li, Hao Wen, Weijun Wang, Xiangyu Li, Yizhen Yuan, Guohong Liu, Jiacheng Liu, Wenxing Xu, Xiang Wang, Yi Sun, Rui Kong, Yile Wang, Hanfei Geng, Jian Luan, Xuefeng Jin, Zilong Ye, Guanjing Xiong, Fan Zhang, Xiang Li, Mengwei Xu, Zhijun Li, Peng Li, Yang Liu, Ya-Qin Zhang, Yunxin Liu. [abs], 2024.1

7. A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond

   Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu. [abs], 2024.3

8. A Survey on Large Language Model based Human-Agent Systems

   Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Yankai Chen, Chunyu Miao, Hoang Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Langzhou He, Yangning Li, Yuwei Cao, Dongyuan Li, Renhe Jiang, Philip S. Yu. [abs], 2025.5

9. The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

   Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhongzhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Yue Liao, Hongru Wang, Mengyue Yang, Heng Ji, Michael Littman, Jun Wang, Shuicheng Yan, Philip Torr, Lei Bai. [abs] [code], 2025.9

---

🤖 Agent

Personality. 🧛🧙

1. Theory of Mind May Have Spontaneously Emerged in Large Language Models

   Michal Kosinski. [abs], 2023.2

2. Toxicity in ChatGPT: Analyzing Persona-assigned Language Models

   Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan. [abs], 2023.4

3. Playing repeated games with Large Language Models

   Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz. [abs], 2023.5

4. ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

   Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao. [abs], 2023.5

5. Role-Play with Large Language Models

   Murray Shanahan, Kyle McDonell, Laria Reynolds. [abs], 2023.5

6. TidyBot: Personalized Robot Assistance with Large Language Models

   Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, Thomas Funkhouser. [abs], 2023.5

7. Personality Traits in Large Language Models

   Mustafa Safdari, Greg Serapio-García, Clément Crepy, Stephen Fitz, Peter Romero, Luning Sun, Marwa Abdulhai, Aleksandra Faust, Maja Matarić. [abs], 2023.7

8. Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language Models

   Keyu Pan, Yawen Zeng. [abs], 2023.7

9. Consciousness in Artificial Intelligence: Insights from the Science of Consciousness

   Patrick Butlin, Robert Long, Eric Elmoznino, Yoshua Bengio, Jonathan Birch, Axel Constant, George Deane, Stephen M. Fleming, Chris Frith, Xu Ji, Ryota Kanai, Colin Klein, Grace Lindsay, Matthias Michel, Liad Mudrik, Megan A. K. Peters, Eric Schwitzgebel, Jonathan Simon, Rufin VanRullen. [abs], 2023.8

10. Taken out of context: On measuring situational awareness in LLMs

    Lukas Berglund, Asa Cooper Stickland, Mikita Balesni, Max Kaufmann, Meg Tong, Tomasz Korbak, Daniel Kokotajlo, Owain Evans. [abs], 2023.9

11. Can Large Language Model Agents Simulate Human Trust Behaviors?

    Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip Torr, Bernard Ghanem, Guohao Li. [abs], 2024.02

12. Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations

    Yunzhe Wang, Gale Lucas, Burcin Becerik-Gerber, Volkan Ustun [abs], 2025.10

13. LLM Agents as Programmable Subjects: Assays and Benchmarks for Agentic Behavior and Alignment

    Gaurav Koley, Aditya Thiruvengadam [abs], 2025.10

Memory. 💭💫

1. CoLT5: Faster Long-Range Transformers with Conditional Computation

   Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontañón, Siddhartha Brahma, Yury Zemlyanskiy, David Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai. [abs], 2023.3

2. Emergent and Predictable Memorization in Large Language Models

   Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, Hailey Schoelkopf, Quentin Anthony, Shivanshu Purohit, Edward Raff. [abs], 2023.4

3. Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System

   Xinnian Liang, Bing Wang, Hui Huang, Shuangzhi Wu, Peihao Wu, Lu Lu, Zejun Ma, Zhoujun Li. [abs], 2023.4

4. ChatLog: Recording and Analyzing ChatGPT Across Time

   Shangqing Tu, Chunyang Li, Jifan Yu, Xiaozhi Wang, Lei Hou, Juanzi Li. [abs], 2023.4

5. Learning to Reason and Memorize with Self-Notes

   Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar. [abs], 2023.5

6. **Unli