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Large Language Models (LLMs) have shown remarkable capabilities as autonomous agents, yet existing benchmarks either focus on single-agent tasks or are confined to narrow domains, failing to capture the dynamics of multi-agent coordination and competition.
Language models are few-shot learners
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Does the chimpanzee have a theory of mind?
David Premack and Guy Woodruff. 1978 · 1978
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Cooperation and punishment in public goods experiments
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Evidence for a collective intelligence factor in the performance of human groups
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Mastering chess and shogi by self-play with a general reinforcement learning algorithm
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Evaluating large language models trained on code
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Chain-of-thought prompting elicits reasoning in large language models
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
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Amazon products dataset 2023 (1.4m products)
Asaniczka. 2023 · 2023
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Mindagent: Emergent gaming interaction
Ran Gong, Qiuyuan Huang, Xiaojian Ma, Hoi Vo, Zane Durante, Yusuke Noda, Zilong Zheng, Song-Chun Zhu, Demetri Terzopoulos, Li Fei-Fei, and Jianfeng Gao. 2023 · 2023
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Agentcoder: Multi-agent-based code generation with iterative testing and optimisation
Dong Huang, Qingwen Bu, Jie M Zhang, Michael Luck, and Heming Cui. 2023 · 2023
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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, et al. 2023 · 2023
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Gaia: a benchmark for general ai assistants
Grégoire Mialon, Clémentine Fourrier, Craig Swift, Thomas Wolf, Yann LeCun, and Thomas Scialom. 2023 · 2023
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Openai function calling documentation
OpenAI. 2023 · 2023
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Reflexion: language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik R Narasimhan, and Shunyu Yao. 2023 · 2023
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A systematic capability evaluation of large vision-language models
Xu Sun, Xiaoya Zhang, Yicheng Feng, Shiyang Wang, Shuming Ma, Jiuding He, Zhixu Zhang, Yuxian Gu, Yi Xu, Hao Zhou, and Zhiyuan Liu. 2023 · 2023
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Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, Katie Millican, et al. 2023 · 2023
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2023 · 2023
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War and peace (waragent): Large language model-based multi-agent simulation of world wars
Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, and Yongfeng Zhang. 2024 · 2024
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Yoichi Ishibashi and Yoshimasa Nishimura. 2024 · 2024
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Mapcoder: Multi-agent code generation for competitive problem solving
Md Ashraful Islam, Mohammed Eunus Ali, and Md Rizwan Parvez. 2024 · 2024
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Yu He Ke, Rui Yang, Sui An Lie, Taylor Xin Yi Lim, Hairil Rizal Abdullah, Daniel Shu Wei Ting, and Nan Liu. 2024 · 2024
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Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2023 · 2023
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Litllm: A toolkit for scientific literature review
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Saaket Agashe, Yue Fan, Anthony Reyna, and Xin Eric Wang. 2024 · 2024
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Repairagent: An autonomous, llm-based agent for program repair
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Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors
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How far are we from AGI: Are LLMs all we need?
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Scaling large-language-model-based multi-agent collaboration
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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, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, dahai li, Zhiyuan Liu, and Maosong Sun. 2024 · 2024
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Diffusion models are real-time game engines
Dani Valevski, Yaniv Leviathan, Moab Arar, and Shlomi Fruchter. 2024 · 2024
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Unleashing cognitive synergy in large language models: A task-solving agent through multi-persona self-collaboration
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Magic: Investigation of large language model powered multi-agent in cognition, adaptability, rationality and collaboration
Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, and Jiashi Feng. 2023 · 2024
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
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Scaling large language model-based multi-agent collaboration
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Crew: Facilitating human-ai teaming research
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