activity
20222025
most citedImproving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning

95 citations · 172 across the 20 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023

Detection-based Intermediate Supervision for Visual Question Answering

Yuhang Liu, Daowan Peng, Wei Wei +3

Recently, neural module networks (NMNs) have yielded ongoing success in answering compositional visual questions, especially those involving multi-hop visual and logical reasoning.…

cs.CL2023★ 5 cited

Enhancing Low-Resource Relation Representations through Multi-View Decoupling

Chenghao Fan, Wei Wei, Xiaoye Qu +4

Recently, prompt-tuning with pre-trained language models (PLMs) has demonstrated the significantly enhancing ability of relation extraction (RE) tasks. However, in low-resource sce…

cs.CL2023

MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control

Zhenyi Lu, Wei Wei, Xiaoye Qu +3

Personalized dialogue systems aim to endow the chatbot agent with more anthropomorphic traits for human-like interactions. Previous approaches have explored explicitly user profile…

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.AI2023★ 4 cited

An Empirical Study on the Language Modal in Visual Question Answering

Daowan Peng, Wei Wei, Xian-Ling Mao +2

Generalization beyond in-domain experience to out-of-distribution data is of paramount significance in the AI domain. Of late, state-of-the-art Visual Question Answering (VQA) mode…