ChengXiang Zhai

Mitigating social bias in Large Language Models (LLMs) presents a distinct alignment challenge: unlike verifiable tasks, social bias lacks a single ground truth, creating a high-variance, subjective reward landscape. Previous preference-based fine-tuning methods have major trade-offs: Direct Pref...

Despite their common goal of assisting users in information access, current Information Retrieval (IR) systems, such as search engines and recommender systems, are studied and deployed separately across application contexts, resulting in scattered user information and fragmented support for a use...