10 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 3 cited
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
Yingqian Min, Kun Zhou, Dawei Gao +3
Recently, multi-task instruction tuning has been applied into sentence representation learning, which endows the capability of generating specific representations with the guidance…
cs.IR2023★ 1 cited
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems
Hengchang Hu, Wei Guo, Yong Liu +1
In sequential recommendation, multi-modal information (e.g., text or image) can provide a more comprehensive view of an item's profile. The optimal stage (early or late) to fuse mo…
cs.CL2022★ 10 cited
C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System
Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao +3
Conversational recommender systems (CRS) aim to recommend suitable items to users through natural language conversations. For developing effective CRSs, a major technical issue is…