作者位次 #4/6ACL 2026Poster· Natural Language Processing
Personalizing LLM s with Binary Feedback: A Preference-Calibrated Optimization Framework
Xilai Ma · Liye Zhao · Weijun Yao · Haibing Di · Wenya Wang · Jing Li
摘要
Large Language Model (LLM) personalization aims to align model behaviors with individual user preferences.Existing methods often focus on isolated user histories, neglecting the essential role of inter-user differences.We propose C-BPO, a framework that personalizes LLMs via preference-calibrated...