activity
20182025
most citedSession-based Recommendation with Hypergraph Attention Networks

103 citations · 168 across the 16 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023

Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model

Zhuoer Wang, Yicheng Wang, Ziwei Zhu +1

Question generation is a widely used data augmentation approach with extensive applications, and extracting qualified candidate answers from context passages is a critical step for…

cs.CL2023★ 2 cited

CoPT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning

Xiangjue Dong, Ziwei Zhu, Zhuoer Wang +2

Pre-trained Language Models are widely used in many important real-world applications. However, recent studies show that these models can encode social biases from large pre-traini…

cs.CL2023★ 1 cited

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts

Xiangjue Dong, Yun He, Ziwei Zhu +1

A key component of modern conversational systems is the Dialogue State Tracker (or DST), which models a user's goals and needs. Toward building more robust and reliable DSTs, we in…

cs.IR2023★ 1 cited

Enhancing User Personalization in Conversational Recommenders

Allen Lin, Ziwei Zhu, Jianling Wang +1

Conversational recommenders are emerging as a powerful tool to personalize a user's recommendation experience. Through a back-and-forth dialogue, users can quickly hone in on just…

cs.IR2023★ 1 cited

Evolution of Filter Bubbles and Polarization in News Recommendation

Han Zhang, Ziwei Zhu, James Caverlee

Recent work in news recommendation has demonstrated that recommenders can over-expose users to articles that support their pre-existing opinions. However, most existing work focuse…