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Yidong He

2 accepted papers

2026

Strat-Reasoner: Reinforcing Strategic Reasoning of LLMs in Multi-Agent Games

ICML 2026poster

While Large Language Models (LLMs) excel in certain reasoning tasks, they struggle in multi-agent games where the final outcome depends on the joint strategies of all agents. In multi-agent games, the non-stationarity of other agents brings significant challenges on the evaluation of the reasoning p…

Cited by 0SourceScholar
2024

Intuitive or Dependent? Investigating LLMs’ Behavior Style to Conflicting Prompts

ACL 2024long

This study investigates the behaviors of Large Language Models (LLMs) when faced with conflicting prompts versus their internal memory. This will not only help to understand LLMs’ decision mechanism but also benefit real-world applications, such as retrieval-augmented generation (RAG).Drawing on cog…