作者位次 #5/7ACL 2026Findings· Findings of ACL
Data-Efficient Adaptation to Contextual Shifts in LLM -based Conversational Recommendation
Hyeongjun Yang · Donghyun Kim · Seokju Hwang · Midan Shim · KyuHwan Yeom · KaeHyun Um · Kyong-Ho Lee
摘要
Large language model (LLM)-based conversational recommender systems (CRSs) have demonstrated strong capabilities in capturing user preferences and generating contextually relevant recommendations. Nevertheless, the recommendation quality of the models frozen after training inevitably degrades und...