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LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models
April 2, 2024, 7:52 p.m. | Yadong Zhang, Shaoguang Mao, Tao Ge, Xun Wang, Adrian de Wynter, Yan Xia, Wenshan Wu, Ting Song, Man Lan, Furu Wei
cs.CL updates on arXiv.org arxiv.org
Abstract: This paper presents a comprehensive survey of the current status and opportunities for Large Language Models (LLMs) in strategic reasoning, a sophisticated form of reasoning that necessitates understanding and predicting adversary actions in multi-agent settings while adjusting strategies accordingly. Strategic reasoning is distinguished by its focus on the dynamic and uncertain nature of interactions among multi-agents, where comprehending the environment and anticipating the behavior of others is crucial. We explore the scopes, applications, methodologies, and …
abstract adjusting agent arxiv cs.cl current form language language models large language large language models llm llms mastermind multi-agent opportunities paper reasoning strategies survey type understanding
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