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Multi-agent systems driven by large language models (LLMs) have shown promising abilities for solving complex tasks in a collaborative manner.
Coordination of groups of mobile autonomous agents using nearest neighbor rules
A. Jadbabaie, J. Lin, and A. S. Morse · 2003
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Consensus problems in networks of agents with switching topology and time-delays
R. Olfati-Saber and R. M. Murray · 2004
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Necessary and sufficient graphical conditions for formation control of unicycles
Z. Lin, B. Francis, and M. Maggiore · 2005
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Tracking control for multi-agent consensus with an active leader and variable topology
Y. Hong, J. Hu, and L. Gao · 2006
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Complex networks: Structure and dynamics
S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, and D.-U. Hwang · 2006
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Information consensus in multivehicle cooperative control
W. Ren, R. W. Beard, and E. M. Atkins · 2007
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D. J. Sumpter · 2010
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How simple rules determine pedestrian behavior and crowd disasters
M. Moussaïd, D. Helbing, and G. Theraulaz · 2011
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A general approach to coordination control of mobile agents with motion constraints
S. Zhao, D. V. Dimarogonas, Z. Sun, and D. Bauso · 2017
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Make up your mind! adversarial generation of inconsistent natural language explanations
O.-M. Camburu, B. Shillingford, P. Minervini, T. Lukasiewicz, and P. Blunsom · 2019
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Towards a human-like open-domain chatbot
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Advances and open problems in federated learning
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Measuring and improving consistency in pretrained language models
Y. Elazar, N. Kassner, S. Ravfogel, A. Ravichander, E. Hovy, H. Schütze, and Y. Goldberg · 2021
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Chain-of-thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q. V. Le, D. Zhou, et al · 2022
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Self-consistency improves chain of thought reasoning in language models
X. Wang, J. Wei, D. Schuurmans, Q. Le, E. Chi, S. Narang, A. Chowdhery, and D. Zhou · 2022
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Improving factuality and reasoning in language models through multiagent debate
Y. Du, S. Li, A. Torralba, J. B. Tenenbaum, and I. Mordatch · 2023
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Encouraging divergent thinking in large language models through multi-agent debate
Self-collaboration code generation via chatgpt
Y. Dong, X. Jiang, Z. Jin, and G. Li · 2023
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Reflexion: Language Agents with Verbal Reinforcement Learning
N. Shinn, F. Cassano, E. Berman, A. Gopinath, K. Narasimhan, and S. Yao · 2023
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Reconcile: Round-table conference improves reasoning via consensus among diverse llms
J. C.-Y. Chen, S. Saha, and M. Bansal · 2023
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Improving language model negotiation with self-play and in-context learning from ai feedback
Y. Fu, H. Peng, T. Khot, and M. Lapata · 2023
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Exploring large language models for communication games: An empirical study on werewolf
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T. Liang, Z. He, W. Jiao, X. Wang, Y. Wang, R. Wang, Y. Yang, Z. Tu, and S. Shi · 2023
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Chateval: Towards better llm-based evaluators through multi-agent debate
C.-M. Chan, W. Chen, Y. Su, J. Yu, W. Xue, S. Zhang, J. Fu, and Z. Liu · 2023
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Metagpt: Meta programming for multi-agent collaborative framework
S. Hong, X. Zheng, J. Chen, Y. Cheng, C. Zhang, Z. Wang, S. K. S. Yau, Z. Lin, L. Zhou, C. Ran, et al · 2023
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Camel: Communicative agents for" mind" exploration of large scale language model society
G. Li, H. A. A. K. Hammoud, H. Itani, D. Khizbullin, and B. Ghanem · 2023
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Communicative agents for software development
C. Qian, X. Cong, C. Yang, W. Chen, Y. Su, J. Xu, Z. Liu, and M. Sun · 2023
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Siren’s song in the ai ocean: A survey on hallucination in large language models
Y. Zhang, Y. Li, L. Cui, D. Cai, L. Liu, T. Fu, X. Huang, E. Zhao, Y. Zhang, Y. Chen, et al · 2023
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Roco: Dialectic multi-robot collaboration with large language models
Z. Mandi, S. Jain, and S. Song · 2023
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Building cooperative embodied agents modularly with large language models
H. Zhang, W. Du, J. Shan, Q. Zhou, Y. Du, J. B. Tenenbaum, T. Shu, and C. Gan · 2023
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Y. Xu, S. Wang, P. Li, F. Luo, X. Wang, W. Liu, and Y. Liu · 2023
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Voyager: An open-ended embodied agent with large language models
G. Wang, Y. Xie, Y. Jiang, A. Mandlekar, C. Xiao, Y. Zhu, L. Fan, and A. Anandkumar · 2023
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X. Zhu, Y. Chen, H. Tian, C. Tao, W. Su, C. Yang, G. Huang, B. Li, L. Lu, X. Wang, et al · 2023
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Generative agents: Interactive simulacra of human behavior
J. S. Park, J. C. O’Brien, C. J. Cai, M. R. Morris, P. Liang, and M. S. Bernstein · 2023
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Humanoid agents: Platform for simulating human-like generative agents
Z. Wang, Y. Y. Chiu, and Y. C. Chiu · 2023
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Playing repeated games with large language models
E. Akata, L. Schulz, J. Coda-Forno, S. J. Oh, M. Bethge, and E. Schulz · 2023
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Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate
K. Xiong, X. Ding, Y. Cao, T. Liu, and B. Qin · 2023
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