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Author

H. Shen

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Open access Jul 2026

Modeling Response Uncertainty and Item Relevance in Conversational Recommender Systems

A Semantic-enhanced CRS (SCRS) is proposed that explicitly models response-based semantic uncertainty and item-based semantic relevance to enhance both response and recommendation quality and achieves significant improvements in both recommendation accuracy and response quality over state-of-the-art baselines.

Chang-Bin Zhong, Jie Zou, Ai-Xin Sun et al. · 0 citations
Aug 2026

Triplet Decomposition and Extensions: A General Framework for Parameter-Efficient Fine-Tuning.

This work unify these approaches under a Triplet Matrix Decomposition framework and reveals that frequency-domain methods can surpass low-rank approaches when optimal frequency components are selected, and this advantage stems from orthogonal transformation matrices and flexible basis vector combinations.

Zhekai Du, Yinjie Min, Dan Zhang et al. · 0 citations

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