activity
20222024
most citedImproving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning

95 citations · 167 across the 15 of their papers we have counts for

collaborators

10 papers

cs.IR2023

Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation

Sen Zhao, Wei Wei, Xian-Ling Mao +5

Conversational recommendation systems (CRS) aim to interactively acquire user preferences and accordingly recommend items to users. Accurately learning the dynamic user preferences…

cs.AI2023

TREA: Tree-Structure Reasoning Schema for Conversational Recommendation

Wendi Li, Wei Wei, Xiaoye Qu +4

Conversational recommender systems (CRS) aim to timely trace the dynamic interests of users through dialogues and generate relevant responses for item recommendations. Recently, va…

cs.CL2023

Copy Is All You Need

Tian Lan, Deng Cai, Yan Wang +2

The dominant text generation models compose the output by sequentially selecting words from a fixed vocabulary. In this paper, we formulate text generation as progressively copying…

cs.CL2023

Measuring Cross-Lingual Transferability of Multilingual Transformers on Sentence Classification

Zewen Chi, Heyan Huang, Xian-Ling Mao

Recent studies have exhibited remarkable capabilities of pre-trained multilingual Transformers, especially cross-lingual transferability. However, current methods do not measure cr…

cs.CL2023

AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking

Yuxiang Nie, Heyan Huang, Wei Wei +1

Annotating long-document question answering (long-document QA) pairs is time-consuming and expensive. To alleviate the problem, it might be possible to generate long-document QA pa…

cs.CL2023

Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing

Ziming Huang, Zhuoxuan Jiang, Ke Wang +3

Currently, human-bot symbiosis dialog systems, e.g., pre- and after-sales in E-commerce, are ubiquitous, and the dialog routing component is essential to improve the overall effici…