2 citations · 4 across the 4 of their papers we have counts for
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cs.CL2024★ 2 cited
Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems
Chuang Li, Yang Deng, Hengchang Hu +2
This paper aims to efficiently enable large language models (LLMs) to use external knowledge and goal guidance in conversational recommender system (CRS) tasks. Advanced LLMs (e.g.…
cs.CL2023
UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking
Chuang Li, Yan Zhang, Min-Yen Kan +1
Previous zero-shot dialogue state tracking (DST) methods only apply transfer learning, ignoring unlabelled data in the target domain. We transform zero-shot DST into few-shot DST b…
cs.CL2023★ 1 cited
A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems
Chuang Li, Hengchang Hu, Yan Zhang +2
Conversational recommender systems (CRS) generate recommendations through an interactive process. However, not all CRS approaches use human conversations as their source of interac…