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The potential of automatic task-solving through Large Language Model (LLM)-based multi-agent collaboration has recently garnered widespread attention from both the research community and industry.
Retrieval-augmented generation for knowledge-intensive nlp tasks
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W.-t. Yih, T. Rocktäschel, S. Riedel, and D. Kiela · 2005
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Evidence for a collective intelligence factor in the performance of human groups
A. W. Woolley, C. F. Chabris, A. Pentland, N. Hashmi, and T. W. Malone · 2010
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A synergistic core for human brain evolution and cognition
A. I. Luppi, P. A. Mediano, F. E. Rosas, N. Holland, T. D. Fryer, J. T. O’Brien, J. B. Rowe, D. K. Menon, D. Bor, and E. A. Stamatakis · 2022
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Training language models to follow instructions with human feedback
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray, J. Schulman, J. Hilton, F. Kelton, L. Miller, M. Simens, A. Askell, P. Welinder, P. F. Christiano, J. Leike, and R. Lowe · 2022
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Finetuned language models are zero-shot learners
J. Wei, M. Bosma, V. Y. Zhao, K. Guu, A. W. Yu, B. Lester, N. Du, A. M. Dai, and Q. V. Le · 2022
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AutoAgents: A framework for automatic agent generation
G. Chen, S. Dong, Y. Shu, G. Zhang, S. Jaward, K. Börje, J. Fu, and Y. Shi · 2023
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AgentVerse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents
W. Chen, Y. Su, J. Zuo, C. Yang, C. Yuan, C. Qian, C.-M. Chan, Y. Qin, Y. Lu, R. Xie, et al · 2023
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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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Augmenting human intellect: A conceptual framework
D. C. Engelbart · 2023
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Xnli: Explaining and diagnosing nli-based visual data analysis
Y. Feng, X. Wang, B. Pan, K. K. Wong, Y. Ren, S. Liu, Z. Yan, Y. Ma, H. Qu, and W. Chen · 2023
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Promptmagician: Interactive prompt engineering for text-to-image creation
Y. Feng, X. Wang, K. K. Wong, S. Wang, Y. Lu, M. Zhu, B. Wang, and W. Chen · 2023
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CAMEL: Communicative agents for “mind” exploration of large language model society
G. Li, H. A. A. K. Hammoud, H. Itani, D. Khizbullin, and B. Ghanem · 2023
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Encouraging divergent thinking in large language models through multi-agent debate
T. Liang, Z. He, W. Jiao, X. Wang, Y. Wang, R. Wang, Y. Yang, Z. Tu, and S. Shi · 2023
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AgentSims: An open-source sandbox for large language model evaluation
J. Lin, H. Zhao, A. Zhang, Y. Wu, H. Ping, and Q. Chen · 2023
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Y. Liu, Z. Wen, L. Weng, O. Woodman, Y. Yang, and W. Chen · 2023
Earlier work this paper cites.
Dynamic llm-agent network: An llm-agent collaboration framework with agent team optimization
Z. Liu, Y. Zhang, P. Li, Y. Liu, and D. Yang · 2023
Cited alongside, same era.
Generative agents: Interactive simulacra of human behavior
J. S. Park, J. O’Brien, C. J. Cai, M. R. Morris, P. Liang, and M. S. Bernstein · 2023
Cited alongside, same era.
Communicative agents for software development
C. Qian, X. Cong, C. Yang, W. Chen, Y. Su, J. Xu, Z. Liu, and M. Sun · 2023
Cited alongside, same era.
In-context impersonation reveals large language models’ strengths and biases
L. Salewski, S. Alaniz, I. Rio-Torto, E. Schulz, and Z. Akata · 2023
Cited alongside, same era.
MedAgents: Large language models as collaborators for zero-shot medical reasoning
X. Tang, A. Zou, Z. Zhang, Y. Zhao, X. Zhang, A. Cohan, and M. Gerstein · 2023
NexusGPT Marketplace
Assem · 2024
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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 · 2024
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MARG: Multi-agent review generation for scientific papers
M. D’Arcy, T. Hope, L. Birnbaum, and D. Downey · 2024
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Data Interpreter: An llm agent for data science
S. Hong, Y. Lin, B. Liu, B. Wu, D. Li, J. Chen, J. Zhang, J. Wang, L. Zhang, M. Zhuge, et al · 2024
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MetaGpt: Meta programming for multi-agent collaborative framework
S. Hong, X. Zheng, J. Chen, Y. Cheng, J. Wang, C. Zhang, Z. Wang, S. K. S. Yau, Z. Lin, L. Zhou, et al · 2024
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Cited alongside, same era.
A survey on large language model based autonomous agents
L. Wang, C. Ma, X. Feng, Z. Zhang, H. Yang, J. Zhang, Z. Chen, J. Tang, X. Chen, Y. Lin, et al · 2023
Cited alongside, same era.
Z. Wang, S. Mao, W. Wu, T. Ge, F. Wei, and H. Ji · 2023
Cited alongside, same era.
Anchorage: Visual analysis of satisfaction in customer service videos via anchor events
K. K. Wong, X. Wang, Y. Wang, J. He, R. Zhang, and H. Qu · 2023
Cited alongside, same era.
AutoGen: Enabling next-gen llm applications via multi-agent conversation framework
Q. Wu, G. Bansal, J. Zhang, Y. Wu, S. Zhang, E. Zhu, B. Li, L. Jiang, X. Zhang, and C. Wang · 2023
Cited alongside, same era.
An empirical study on challenging math problem solving with gpt-4
Y. Wu, F. Jia, S. Zhang, Q. Wu, H. Li, E. Zhu, Y. Wang, Y. T. Lee, R. Peng, and C. Wang · 2023
Cited alongside, same era.
The rise and potential of large language model based agents: A survey
Z. Xi, W. Chen, X. Guo, W. He, Y. Ding, B. Hong, M. Zhang, J. Wang, S. Jin, E. Zhou, et al · 2023
Cited alongside, same era.
ExpertPrompting: Instructing large language models to be distinguished experts
B. Xu, A. Yang, J. Lin, Q. Wang, C. Zhou, Y. Zhang, and Z. Mao · 2023
Cited alongside, same era.
J. Lu, B. Pan, J. Chen, Y. Feng, J. Hu, Y. Peng, and W. Chen · 2024
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OpenAI GPT Store
OpenAI · 2024
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AgentGPT
ReWorkd · 2024
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Langroid: Harness llms with multi-agent programming
L. Team · 2024
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SuperAGI
S. Team · 2024
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SuperAGI Marketplace
S. Team · 2024
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Insightlens: Discovering and exploring insights from conversational contexts in large-language-model-powered data analysis
L. Weng, X. Wang, J. Lu, Y. Feng, Y. Liu, and W. Chen · 2024
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XAgent: An autonomous agent for complex task solving
XAgent Team · 2024
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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 · 2024
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