4 papers
Beyond Successful Play: Diagnosing Opponent Modeling in Large Language Models
Hanbo Xie, Yue Zhao, Robert C. Wilson
Language-model agents are expected to adapt to others whose behavior changes through interaction. Yet adaptation may rely on learned behavioral patterns rather than theory of mind…
Think-Aloud Reshapes Automated Cognitive Model Discovery Beyond Behavior
Hanbo Xie, Akshay K. Jagadish, Lan Pan +1
Computational cognitive models discovered using large language models have so far relied solely on behavioral data. However, it is well-known that models produced from the behavior…
Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions
Jian-Qiao Zhu, Hanbo Xie, Dilip Arumugam +2
A central goal of cognitive modeling is to develop models that not only predict human behavior but also provide insight into the underlying cognitive mechanisms. While neural netwo…
Large Language Models Think Too Fast To Explore Effectively
Lan Pan, Hanbo Xie, Robert C. Wilson
Large Language Models (LLMs) have emerged with many intellectual capacities. While numerous benchmarks assess their intelligence, limited attention has been given to their ability…