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LLM-based Multi-Agent Systems ( LLM-MAS ) have become a research hotspot since the rise of large language models (LLMs).
A bayesian skill rating system
Thore Graepel, Tom Minka, and R TrueSkill Herbrich. 2007 · 2007
Earlier work this paper cites.
An Introduction to Multi-Agent Systems
P. G. Balaji and D. Srinivasan. 2010 · 2010
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Deep recurrent q-learning for partially observable mdps
Matthew Hausknecht and Peter Stone. 2015 · 2015
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Multiscale online media simulation with socialcube
Tarek Abdelzaher, Jiawei Han, Yifan Hao, Andong Jing, Dongxin Liu, Shengzhong Liu, Hoang Hai Nguyen, David M Nicol, Huajie Shao, Tianshi Wang, et al. 2020 · 2020
Earlier work this paper cites.
Multi-agent deep reinforcement learning: A survey
Sven Gronauer and Klaus Diepold. 2022 · 2022
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Social Simulacra: Creating Populated Prototypes for Social Computing Systems
Joon Sung Park, Lindsay Popowski, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. 2022 · 2022
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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, and Zhiyuan Liu. 2023 · 2023
Earlier work this paper cites.
Yun-Shiuan Chuang and Timothy T. Rogers. 2023 · 2023
Earlier work this paper cites.
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, and Igor Mordatch. 2023 · 2023
Earlier work this paper cites.
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Ceyao Zhang, Jinlin Wang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, and Jürgen Schmidhuber. 2023 · 2023
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Yuan Li, Yixuan Zhang, and Lichao Sun. 2023 · 2023
Earlier work this paper cites.
AgentSims: An Open-Source Sandbox for Large Language Model Evaluation
Jiaju Lin, Haoran Zhao, Aochi Zhang, Yiting Wu, Huqiuyue Ping, and Qin Chen. 2023 · 2023
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A review of cooperative multi-agent deep reinforcement learning
Afshin Oroojlooy and Davood Hajinezhad. 2023 · 2023
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Generative Agents: Interactive Simulacra of Human Behavior
Joon Sung Park, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. 2023 · 2023
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Reflexion: Language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao. 2023 · 2023
Earlier work this paper cites.
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2023 · 2023
Earlier work this paper cites.
Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks
Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, and Zongqing Lu. 2023 · 2023
Cited alongside, same era.
Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence
Hang Zou, Qiyang Zhao, Lina Bariah, Mehdi Bennis, and Merouane Debbah. 2023 · 2023
Cited alongside, same era.
Introducing OpenAI o1
2024 · 2024
Cited alongside, same era.
Openai/swarm
2024 · 2024
Cited alongside, same era.
Adversarial Multi-Agent Evaluation of Large Language Models through Iterative Debates
Chaithanya Bandi and Abir Harrasse. 2024 · 2024
Cited alongside, same era.
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
Bin Lei, Yi Zhang, Shan Zuo, Ali Payani, and Caiwen Ding. 2024 · 2024
Closest in time.
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, Shuming Shi, and Zhaopeng Tu. 2024 · 2024
Closest in time.
MAO: A Framework for Process Model Generation with Multi-Agent Orchestration
Leilei Lin, Yumeng Jin, Yingming Zhou, Wenlong Chen, and Chen Qian. 2024 · 2024
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Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation
Xinyi Mou, Zhongyu Wei, and Xuanjing Huang. 2024 · 2024
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Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal
Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, and Yefeng Zheng. 2024 · 2024
Cited alongside, same era.
Simulating Opinion Dynamics with Networks of LLM-based Agents
Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, and Timothy Rogers. 2024 · 2024
Cited alongside, same era.
Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf Game
Silin Du and Xiaowei Zhang. 2024 · 2024
Cited alongside, same era.
Multi-Agent Software Development through Cross-Team Collaboration
Zhuoyun Du, Chen Qian, Wei Liu, Zihao Xie, Yifei Wang, Yufan Dang, Weize Chen, and Cheng Yang. 2024 · 2024
Cited alongside, same era.
Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, et al. 2024 · 2024
Cited alongside, same era.
AgentScope: A Flexible yet Robust Multi-Agent Platform
Dawei Gao, Zitao Li, Xuchen Pan, Weirui Kuang, Zhijian Ma, Bingchen Qian, Fei Wei, Wenhao Zhang, Yuexiang Xie, Daoyuan Chen, Liuyi Yao, Hongyi Peng, Zeyu Zhang, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, and Jingren Zhou. 2024 · 2024
Cited alongside, same era.
MindAgent: Emergent Gaming Interaction
Ran Gong, Qiuyuan Huang, Xiaojian Ma, Yusuke Noda, Zane Durante, Zilong Zheng, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao, and Hoi Vo. 2024 · 2024
Cited alongside, same era.
OpenAI, Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, et al. 2024 · 2024
Closest in time.
Very Large-Scale Multi-Agent Simulation in AgentScope
Xuchen Pan, Dawei Gao, Yuexiang Xie, Yushuo Chen, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, and Jingren Zhou. 2024 · 2024
Closest in time.
Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, and Rada Mihalcea. 2024 · 2024
Closest in time.
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent
Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, and Fei Huang. 2024 · 2024
Closest in time.
MuMA-ToM: Multi-modal Multi-Agent Theory of Mind
Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, and Tianmin Shu. 2024 · 2024
Closest in time.
CodeAgent: Autonomous Communicative Agents for Code Review
Xunzhu Tang, Kisub Kim, Yewei Song, Cedric Lothritz, Bei Li, Saad Ezzini, Haoye Tian, Jacques Klein, and Tegawende F. Bissyande. 2024 · 2024
Closest in time.
Unleashing the Emergent 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, and Heng Ji. 2024d · 2024
Closest in time.
Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf
Yuzhuang Xu, Shuo Wang, Peng Li, Fuwen Luo, Xiaolong Wang, Weidong Liu, and Yang Liu. 2024 · 2024
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Xiangyu Yin, Chuqiao Shi, Yimo Han, and Yi Jiang. 2024 · 2024
Closest in time.
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent
Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, and Liehuang Zhu. 2024 · 2024
Closest in time.
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks
Shengbin Yue, Siyuan Wang, Wei Chen, Xuanjing Huang, and Zhongyu Wei. 2024 · 2024
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