作者位次 #3/6ACL 2026Poster· Natural Language Processing
C o A ct: Co-Active LLM Preference Learning with Human- AI Synergy
Ruiyao Xu · Mihir Parmar · Tiankai Yang · Zhengyu Hu · Yue Zhao · Kaize Ding
摘要
Learning from preference-based feedback has become an effective approach for aligning LLMs across diverse tasks. However, high-quality human-annotated preference data remains expensive and scarce. Existing methods address this challenge through either self-rewarding, which scales by using purely...