作者位次 #3/7SIGIR 2026Oral· Information Retrieval (Full)
One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
Hongru Cai · Yongqi Li · Tiezheng Yu · Fengbin ZHU · Wenjie Wang · Fuli Feng · Wenjie Li
摘要
Alignment of Large Language Models (LLMs) aims to align outputs with human preferences, and personalized alignment further adapts models to individual users. This relies on personalized reward models that capture user-specific preferences and automatically provide individualized feedback. However...