Wei Wang

The behaviors of Large Language Models (LLMs) as artificial social actors are largely underexplored, particularly in unverifiable scenarios where conventional benchmarking has little to help improve their abilities. Thus, examining their behaviors in such scenarios can help understand and improve...

Although Large Language Models (LLMs) have made remarkable progress, current preference optimization methods still struggle to align directional consistency while preserving reasoning diversity. To address this limitation, we propose Directional-Groupwise Preference Optimization (DGPO), a lightwe...

Large Language Models are increasingly deployed for decision-making, yet their adoption in high-stakes domains remains limited by miscalibrated probabilities, unfaithful explanations, and inability to incorporate expert knowledge precisely. We propose IDEA , a framework that extracts LLM decision...