MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs 文章

ArXiv CS.AI2026-05-29NEWSen作者: Kevin Wang, Anna Th\"oni, Benjamin Kempinski, Bobby Cheng, Jianzhu Yao, Benjamin Finch, Leon Guertler, Viraj Nadkarni, Yihan Jiang, Aliaksei Korshuk, Alexander Buyantuev, Ilya Makarov, Siyuan Wu, Yu-Chi Cheng, Yan-Ru Ju, Ti-Rong Wu, I-Hsuan Chu, Yu-Yu Yang, I-Chen Wu, Yitian Huang, Qinlu Cao, Yiheng Sun, Yuhong Dai, Hongkun Yao, Jingxuan Fu, Jiwei Zhang, Hao Liao, Mossimo Ebeling, Govind Arun, Sadhvik Bathini, Mihir S Arya, Avinash Anish, Aditya Ranjan, Kirtana Sunil Phatnani, Paval KS, Vrushali Mehta, Aravind S, Nikhil Arora, Tanya Upadhyay, Amol Bandagale, Yuan Lu, ChunEn Hsiao, YuTing Lin, Arvin Chung, Jerry John Thomas, Mathieu Lauri\`ere, Leshem Choshen, Yoram Bachrach, Pramod Viswanath, Maria Polukarov, Cheston Tan, Tal Kachman, Atlas Wang

摘要

arXiv:2605.29512v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as interactive agents, yet their capacity for social and strategic reasoning over extended interaction remains poorly understood. Existing evaluations rely on static vignettes or single-game benchmarks that cannot capture the sustained, multi-faceted reasoning that real-world multi-agent settings demand. We introduce Mindgames, a multi-game arena and evaluation platform for LLM agents that operationalizes complementary reasoning demands relevant to ``theory of mind'': belief attribution under hidden information, opponent modeling through repeated strategic interaction, cooperative inference under knowledge asymmetries, and sustained deception in social deduction. Built on TextArena, Mindgames provides a unified interaction interface, TrueSkill-based rating, and full trajectory logging across four game environments.