embodied agents modularly with large language models." arXiv preprint arXiv:2307.02485 (2023). • 協調効果 Zhang, Jintian, Xin Xu, and Shumin Deng. "Exploring collaboration mechanisms for llm agents: A social psychology view." arXiv preprint arXiv:2310.02124 (2023). • 協調効果 Sun, Qiushi, et al. "Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration." arXiv preprint arXiv:2310.00280 (2023). • 対話精度向上 Du, Yilun, et al. "Improving Factuality and Reasoning in Language Models through Multiagent Debate." arXiv preprint arXiv:2305.14325 (2023). • 対話精度向上 Smit, Andries, et al. "Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A." arXiv preprint arXiv:2311.17371 (2023). • 対話精度向上 Chen, Justin Chih-Yao, Swarnadeep Saha, and Mohit Bansal. "Reconcile: Round-table conference improves reasoning via consensus among diverse llms." arXiv preprint arXiv:2309.13007 (2023). • 対話精度向上 Wang, Qineng, et al. "On the Discussion of Large Language Models: Symmetry of Agents and Interplay with Prompts." arXiv preprint arXiv:2311.07076 (2023). • LLM multi-agentsサーベイ Xi, Zhiheng, et al. "The rise and potential of large language model based agents: A survey." arXiv preprint arXiv:2309.07864 (2023). • LLM multi-agentsサーベイ Talebirad, Yashar, and Amirhossein Nadiri. "Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents." arXiv preprint arXiv:2306.03314 (2023). 57