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.

🔬 KnowledgeditingPapers: 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. 🥳”

• 2023-06-18 We create this repository to maintain a paper list on Multi-agents .

• LLM Agents Papers
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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

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

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. Unlimiformer: Long-Range Transformers with Unlimited Length Input

   Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley. [abs], 2023.5

7. Small Models are Valuable Plug-ins for Large Language Models

   Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian McAuley. [abs], 2023.5

8. MemoryBank: Enhancing Large Language Models with Long-Term Memory

   Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin Wang. [abs], 2023.5

9. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings

   Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu. [abs], 2023.5

10. RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text

    Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, Mrinmaya Sachan. [abs], 2023.5

11. RET-LLM: Towards a General Read-Write Memory for Large Language Models

    Ali Modarressi, Ayyoob Imani, Mohsen Fayyaz, Hinrich Schütze. [abs], 2023.5

12. Adapting Language Models to Compress Contexts

    Alexis Chevalier, Alexander Wettig, Anirudh Ajith, Danqi Chen. [abs], 2023.5

13. Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration

    Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, Jie Tang. [abs], 2023.5

14. Landmark Attention: Random-Access Infinite Context Length for Transformers

    Amirkeivan Mohtashami, Martin Jaggi. [abs], 2023.5

15. Randomized Positional Encodings Boost Length Generalization of Transformers

    Anian Ruoss, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Róbert Csordás, Mehdi Bennani, Shane Legg, Joel Veness. [abs], 2023.5

16. Monotonic Location Attention for Length Generalization

    Jishnu Ray Chowdhury, Cornelia Caragea. [abs], 2023.5

17. ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory

    Chenxu Hu, Jie Fu, Chenzhuang Du, Simian Luo, Junbo Zhao, Hang Zhao. [abs], 2023.6

18. Cognitive Architectures for Language Agents

    Theodore Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths [abs], 2023.9

1. Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

   Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch. [abs], 2022.1

2. Inner Monologue: Embodied Reasoning through Planning with Language Models

   Wenlong Huang , Fei Xia , Ted Xiao , Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Noah Brown, Tomas Jackson, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter. [abs], 2022.7

3. ReAct: Synergizing Reasoning and Acting in Language Models

   Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao. [abs], 2022.10

4. Mind's Eye: Grounded Language Model Reasoning through Simulation

   Ruibo Liu, Jason Wei, Shixiang Shane Gu, Te-Yen Wu, Soroush Vosoughi, Claire Cui, Denny Zhou, Andrew M. Dai. [abs], 2022.10

5. LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

   Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, Yu Su. [abs], 2022.12

6. Don’t Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments

   Yu Gu, Xiang Deng, Yu Su. [abs], 2022.12

7. Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling

   Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox. [abs], 2023.1

8. Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

   Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang. [abs], 2023.2

9. PaLM-E: An embodied multimodal language model

   Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence. [abs], 2023.3

10. Reflexion: Language Agents with Verbal Reinforcement Learning

    Noah Shinn, Federico Cassano, Beck Labash, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao. [abs], 2023.3

11. Chat with the Environment: Interactive Multimodal Perception using Large Language Models

    Xufeng Zhao, Mengdi Li, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter. [abs], 2023.3

12. Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks

    Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, Zongqing Lu. [abs], 2023.3

13. Self-Refine: Iterative Refinement with Self-Feedback

    Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark. [abs], 2023.3

14. Teaching Large Language Models to Self-Debug

    Xinyun Chen, Maxwell Lin, Nathanael Schärli, Denny Zhou. [abs], 2023.4

15. WizardLM: Empowering Large Language Models to Follow Complex Instructions

    Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Daxin Jiang. [abs], 2023.4

16. FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

    Lingjiao Chen, Matei Zaharia, James Zou. [abs], 2023.5

17. Tree of Thoughts: Deliberate Problem Solving with Large Language Models

    Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan. [abs], 2023.5

18. Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents

    Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Yuanzhi Li, Tom Mitchell, Shrimai Prabhumoye. [abs], 2023.5

19. Knowledge-enhanced Agents for Interactive Text Games

    Prateek Chhikara, Jiarui Zhang, Filip Ilievski, Jonathan Francis, Kaixin Ma. [abs], 2023.5

20. Voyager: An Open-Ended Embodied Agent with Large Language Models

    Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, Anima Anandkumar. [abs], 2023.5

21. SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

    Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren. [abs], 2023.5

22. Language Models Meet World Models: Embodied Experiences Enhance Language Models

    Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu. [abs], 2023.5

23. Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

    Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, Jifeng Dai. [abs], 2023.5

24. AdaPlanner: Adaptive Planning from Feedback with Language Models

    Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang. [abs], 2023.5

25. Reasoning with Language Model is Planning with World Model

    Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu. [abs], 2023.5

26. Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

    Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, Ee-Peng Lim. [abs], 2023.5

27. Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach

    Bin Hu, Chenyang Zhao, Pu Zhang, Zihao Zhou, Yuanhang Yang, Zenglin Xu, Bin Liu. [abs], 2023.6

28. RecAgent: A Novel Simulation Paradigm for Recommender Systems

    Lei Wang, Jingsen Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Ji-Rong Wen. [abs], 2023.6

29. Towards A Unified Agent with Foundation Models.

    Norman Di Palo, Arunkumar Byravan, Leonard Hasenclever, Markus Wulfmeier, Nicolas Heess, Martin Riedmiller. [abs], 2023.7

30. PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

    Bo Shen, Jiaxin Zhang, Taihong Chen, Daoguang Zan, Bing Geng, An Fu, Muhan Zeng, Ailun Yu, Jichuan Ji, Jingyang Zhao, Yuenan Guo, Qianxiang Wang. [abs], 2023.7

31. A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

    Izzeddin Gur, Hiroki Furuta, Austin Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust. [abs], 2023.7

32. Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization

    Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese. [abs], 2023.8

33. SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

    Ning Miao, Yee Whye Teh, Tom Rainforth. [abs], 2023.8

34. ExpeL: LLM Agents Are Experiential Learners

    Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang. [abs], 2023.8

35. Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning

    Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li. [abs], 2023.9

1. WebGPT: Browser-assisted question-answering with human feedback

   Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, John Schulman. [abs], 2021.12

2. Toolformer: Language Models Can Teach Themselves to Use Tools

   Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom. [abs], 2023.2

3. MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

   Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Ehsan Azarnasab, Faisal Ahmed, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang. [abs], 2023.3

4. HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

   Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang. [abs], 2023.3

5. Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

   Chenfei Wu, Shengming Yin, Weizhen Qi, Xiaodong Wang, Zecheng Tang, Nan Duan. [abs], 2023.3

6. ART: Automatic multi-step reasoning and tool-use for large language models

   Bhargavi Paranjape, Scott Lundberg, Sameer Singh, Hannaneh Hajishirzi, Luke Zettlemoyer, Marco Tulio Ribeiro. [abs], 2023.3

7. TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

   Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan. [abs], 2023.3

8. Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

   Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao. [abs], 2023.4

9. ChemCrow: Augmenting large-language models with chemistry tools

   Andres M Bran, Sam Cox, Andrew D White, Philippe Schwaller. [abs], 2023.4

10. TALM: Tool Augmented Language Models

    Aaron Parisi, Yao Zhao, Noah Fiedel. [abs], 2022.5

11. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

    Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen. [abs] [code], 2023.5

12. Making Language Models Better Tool Learners with Execution Feedback

    Shuofei Qiao, Honghao Gui, Huajun Chen, Ningyu Zhang. [abs],2023.5

13. ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models

    Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Wayne Xin Zhao, Ji-Rong Wen. [abs], 2023.5

14. Gorilla: Large Language Model Connected with Massive APIs

    Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez. [abs], 2023.5

15. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

    Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun. [abs], 2023.7

16. GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution

    Yining Lu, Haoping Yu, Daniel Khashabi. [abs], 2023.7

17. Gentopia: A Collaborative Platform for Tool-Augmented LLMs

    Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li, Murong Yue, Zhiyuan Peng, Yuchen Liu, Ziyu Yao, Dongkuan Xu. [abs], 2023.8

1. Language Model Cascades

   David Dohan, Winnie Xu, Aitor Lewkowycz, Jacob Austin, David Bieber, Raphael Gontijo Lopes, Yuhuai Wu, Henryk Michalewski, Rif A. Saurous, Jascha Sohl-dickstein, Kevin Murphy, Charles Sutton. [abs], 2022.7

2. Collaborating with language models for embodied reasoning

   Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus. [abs], 2023.2

3. CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society

   Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem. [abs], 2023.3

4. Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models

   Jimmy Wei, Kurt Shuster, Arthur Szlam, Jason Weston, Jack Urbanek, Mojtaba Komeili. [abs], 2023.4

5. ChatLLM Network: More brains, More intelligence

   Rui Hao, Linmei Hu, Weijian Qi, Qingliu Wu, Yirui Zhang, Liqiang Nie. [abs], 2023.4

6. Self-collaboration Code Generation via ChatGPT

   Yihong Dong, Xue Jiang, Zhi Jin, Ge Li. [abs], 2023.4

7. Emergent autonomous scientific research capabilities of large language models

   Daniil A. Boiko, Robert MacKnight, Gabe Gomes. [abs], 2023.4

8. ChatGPT/GPT-4 for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

   Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang. [abs], 2023.5

9. Large Language Models as Tool Makers

   Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou. [abs], 2023.5

10. Inferring the Goals of Communicating Agents from Actions and Instructions

    Lance Ying, Tan Zhi-Xuan, Vikash Mansinghka, Joshua B. Tenenbaum. [abs], 2023.6

11. Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence

    Hang Zou, Qiyang Zhao, Lina Bariah, Mehdi Bennis, Merouane Debbah. [abs], 2023.7

12. RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

    Zhao Mandi, Shreeya Jain, Shuran Song. [abs], 2023.7

13. Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

    Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, Heng Ji. [abs], 2023.7

14. Communicative Agents for Software Development

    Chen Qian, Xin Cong, Cheng Yang, Weize Chen, Yusheng Su, Juyuan Xu, Zhiyuan Liu, Maosong Sun. [abs], 2023.7

15. To Infinity and Beyond: SHOW-1 and Showrunner Agents in Multi-Agent Simulations

    Philipp Maas, Frank Carey, Chris Wheeler, Edward Saatchi, Pete Billington, Jessica Yaffa Shamash. [abs], 2023.7

16. MetaGPT: Meta Programming For Multi-Agent Collaborative Framework

    Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu. [abs], 2023.8

17. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback

    Yao Fu, Hao Peng, Tushar Khot, Mirella Lapata. [abs], 2023.5

18. Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

    Yashar Talebirad, Amirhossein Nadiri. [abs], 2023.6

19. RestGPT: Connecting Large Language Models with Real-World Applications via RESTful APIs

    Yifan Song, Weimin Xiong, Dawei Zhu, Cheng Li, Ke Wang, Ye Tian, Sujian Li. [abs], 2023.6

20. Building Cooperative Embodied Agents Modularly with Large Language Models

    Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan. [abs], 2023.7

21. InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent

    Po-Lin Chen, Cheng-Shang Chang. [abs], 2023.8

22. AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

    Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang. [abs], 2023.8

23. Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering

    Edward Junprung. [abs], 2023.8

24. Neural Amortized Inference for Nested Multi-agent Reasoning

    Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu. [abs], 2023.8

25. GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems

    Nathalia Nascimento, Paulo Alencar, Donald Cowan. [abs], 2023.8

26. ProAgent: Building Proactive Cooperative AI with Large Language Models

    Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang. [abs], 2023.8

27. Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View

    Jintian Zhang, Xin Xu, Shumin Deng. [abs], 2023.10

1. Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

   Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi. [abs], 2023.5

2. Improving Factuality and Reasoning in Language Models through Multiagent Debate

   Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch. [abs], 2023.5

3. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback

   Yao Fu, Hao Peng, Tushar Khot, Mirella Lapata. [abs], 2023.5

4. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

   Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu. [abs], 2023.8

5. How susceptible are LLMs to Logical Fallacies?

   Amirreza Payandeh, Dan Pluth, Jordan Hosier, Xuesu Xiao, Vijay K. Gurbani. [abs], 2023.8

6. Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View

   Jintian Zhang, Xin Xu, Shumin Deng. [abs], 2023.10

1. Generative Agents: Interactive Simulacra of Human Behavior

   Joon Sung Park, Joseph C. O'Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein. [abs], 2023.4

2. Training Socially Aligned Language Models in Simulated Human Society.

   Ruibo Liu, Ruixin Yang, Chenyan Jia, Ge Zhang, Denny Zhou, Andrew M. Dai, Diyi Yang, Soroush Vosoughi. [abs], 2023.5

3. The Role of Summarization in Generative Agents: A Preliminary Perspective

   Xiachong Feng, Xiaocheng Feng, Bing Qin. [abs], 2023.5

4. Epidemic Modeling with Generative Agents.

   Ross Williams, Niyousha Hosseinichimeh, Aritra Majumdar, Navid Ghaffarzadegan. [abs], 2023.7

5. S^3: Social-network Simulation System with Large Language Model-Empowered Agents

   Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, Yong Li. [abs],2023.7

6. AgentSims: An Open-Source Sandbox for Large Language Model Evaluation

   Jiaju Lin, Haoran Zhao, Aochi Zhang, Yiting Wu, Huqiuyue Ping, Qin Chen. [abs], 2023.8

7. CGMI: Configurable General Multi-Agent Interaction Framework

   Shi Jinxin, Zhao Jiabao, Wang Yilei, Wu Xingjiao, Li Jiawen, He Liang. [abs], 2023.8

1. EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

   Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, Aimin Zhou, Ze Zhou, Qin Chen, Jie Zhou, Liang He, Xipeng Qiu. [abs], 2023.8

2. SuperAgent: A Customer Service Chatbot for E-commerce Websites

   Lei Cui, Shaohan Huang, Furu Wei, Chuanqi Tan, Chaoqun Duan, Ming Zhou. [paper], 2017

3. WebArena: A Realistic Web Environment for Building Autonomous Agents

   Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig. [abs], 2023.7

4. LLM As DBA

   Xuanhe Zhou, Guoliang Li, Zhiyuan Liu. [abs], 2023.8

5. RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking

   Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar. [paper], 2023

6. Is There Any Social Principle for LLM-Based Agents?

   Jitao Bai, Simiao Zhang, Zhonghao Chen. [abs], 2023.8

7. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

   Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen. [abs] [code], 2023.9

1. Agents: An Open-source Framework for Autonomous Language Agents

   Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan. [abs], 2023.9

2. Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization

   Zijun Liu, Yanzhe Zhang, Peng Li, Yang Liu, Diyi Yang. [abs], 2023.10

1. Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future Challenges

   Sivan Schwartz, Avi Yaeli, Segev Shlomov. [abs], 2023.8

1. Mind2Web: Towards a Generalist Agent for the Web

   Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, Yu Su. [abs], 2023.6

2. The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions

   Yujia Peng , Jiaheng Han, Zhenliang Zhang , Lifeng Fan , Tengyu Liu, Siyuan Qi, Xue Feng, Yuxi Ma, Yizhou Wang, Song-Chun Zhu. [abs], 2023.7

3. AgentBench: Evaluating LLMs as Agents

   Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang. [abs], 2023.8

4. BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents.

   Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese. [abs], 2023.8

Types	Tools
Agent with tool	AutoGPT、LangChain、Transformer Agents、WorkGPT、AutoChain 、Langroid、 WebArena、GPT Researcher、BMTools、ToolBench 、AgentGPT、xlang
Multi-Agent	CAMEL、GPTeam、AgentVerse、MetaGPT、Langroid、SocraticAI、AutoGen、Agents
Others	AutoAgents 、GPT Engineer

• Auto-GPT. An experimental open-source attempt to make GPT-4 fully autonomous.

• LangChain. Building applications with LLMs through composability.

• CAMEL. Communicative Agents for “Mind” Exploration of Large Scale Language Model Society.

• GPTeam. GPTeam: An open-source multi-agent simulation.

• Transformer Agents. In short, it provides a natural language API on top of transformers: we define a set of curated tools and design an agent to interpret natural language and to use these tools.

• AgentVerse . A Framework for Multi-LLM Environment Simulation.

• AutoAgents. Complex question answering in LLMs with enhanced reasoning and information-seeking capabilities.

• GPT Engineer . Specify what you want it to build, the AI asks for clarification, and then builds it.

• MetaGPT. The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

• WorkGPT. A GPT agent framework for invoking APIs.

• AutoChain. Build lightweight, extensible, and testable LLM Agents.

• Langroid. Harness LLMs with Multi-Agent Programming.

• SocraticAI. Problem solving by engaging multiple AI agents in conversation with each other and the user.

• WebArena. A Realistic Web Environment for Building Autonomous Agents.

• GPT Researcher. GPT based autonomous agent that does online comprehensive research on any given topic.

• BMTools. Tool Learning for Big Models, Open-Source Solutions of ChatGPT-Plugins

• ToolBench. An open platform for training, serving, and evaluating large language model for tool learning.

• AgentGPT. Assemble, configure, and deploy autonomous AI Agents in your browser.

• xlang. An open-source framework for building and evaluating language model agents via executable language grounding

• Agently. A fast way to build LLM Agent based Application 🤵 A light weight framework helps developers to create amazing LLM based applications.

• Lagent. A lightweight framework for building LLM-based agents.

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