Evaluating And Enhancing Llms Agent Based On Theory Of Mind In Guandan: A Multi-player Cooperative Game Under Imperfect Information

Abstract

Large language models (LLMs) have shown success in handling simple games with imperfect information and enabling multi-agent coordination, but their ability to facilitate practical collaboration against other agents in complex, imperfect information environments, especially in a non-English environment, still needs to be explored. This study investigates the applicability of knowledge acquired by