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Wei-Kang Guo

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Open access Jul 2026

Modeling Response Uncertainty and Item Relevance in Conversational Recommender Systems

Conversational Recommender Systems (CRSs) aim to extract user preferences from natural language interactions and deliver personalized recommendations through conversations. In multi-turn conversations, these systems often generate low-confidence responses when user intent is unclear, leading to inappropriate replies an...

Chang-Bin Zhong, Jie Zou, Aixin Sun et al. · 0 citations
Preprint Sep 2026

From Topical Relevance to Answerability: Entailment Distillation for Conversational Retrieval

The core of CLEAR is entailment distillation, which transfers answer-passage entailment supervision into a cross-encoder reranker so that the reranker discriminates answer-supporting passages from topical distractors at inference time, without requiring answers.

Shuai Qin, Guo-Jia An, Wei-Kang Guo et al. · 0 citations
Book Open access Jul 2026

Beyond the Single Path: Divergent Reasoning for LLM-based Recommendation

Divergent Reasoning for LLM-based Recommendation is proposed, which effectively mitigates the issue of reasoning path collapse, while improving both the accuracy and diversity of LLM-based recommendations.

Guo-Jia An, Jie Zou, Yu-Han Yang et al. · 1 citation

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