作者位次 #3/5ACL 2026Poster· Natural Language Processing
Generative Gamer: Learning Equilibrium Strategy by LLM -driven Dynamic Deduction
Yadong Zhang · Xinshu Shen · Yupei Ren · Shangqing Zhao · Man Lan
摘要
Large Language Models (LLMs) have demonstrated remarkable general capabilities, yet they falter in domains requiring deep strategic reasoning. A primary obstacle is the need to navigate a game tree that grows exponentially with search depth, a task for which their generative nature is ill-suited....