Ziwei Zhu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 28

Top Topics

News Recommendation

Contextual Bandit

Recommender Systems

Top Venues

Publications

Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis. CoRR (2024)
Chahat Raj, Anjishnu Mukherjee, Hemant Purohit, Antonios Anastasopoulos, Ziwei Zhu
SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models. ECIR (5) (2024)
Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos
Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models. CoRR (2024)
Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
Countering Mainstream Bias via End-to-End Adaptive Local Learning. ECIR (5) (2024)
Anjishnu Mukherjee, Aylin Caliskan, Ziwei Zhu, Antonios Anastasopoulos
Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning. NAACL-HLT (2024)
Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu
Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. WWW (2024)
Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
Federated Conversational Recommender Systems. ECIR (5) (2024)
Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models. CoRR (2024)
Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
Countering Mainstream Bias via End-to-End Adaptive Local Learning. CoRR (2024)
Yuqing Zhou, Tianshu Feng, Mingrui Liu, Ziwei Zhu
A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation. CIKM (2023)
Anjishnu Mukherjee, Chahat Raj, Ziwei Zhu, Antonios Anastasopoulos
Global Voices, Local Biases: Socio-Cultural Prejudices across Languages. EMNLP (2023)
Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. ACL (Findings) (2023)
Anjishnu Mukherjee, Chahat Raj, Ziwei Zhu, Antonios Anastasopoulos
Global Voices, Local Biases: Socio-Cultural Prejudices across Languages. CoRR (2023)
Zhuoer Wang, Yicheng Wang, Ziwei Zhu, James Caverlee
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model. CoRR (2023)
Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu
True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning. AIES (2023)
Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
Enhancing User Personalization in Conversational Recommenders. CoRR (2023)
Zhuoer Wang, Yicheng Wang, Ziwei Zhu, James Caverlee
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model. EMNLP (Findings) (2023)
Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee
Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. EMNLP (Findings) (2023)
Han Zhang, Ziwei Zhu, James Caverlee
Evolution of Filter Bubbles and Polarization in News Recommendation. ECIR (2) (2023)
Han Zhang, Ziwei Zhu, James Caverlee
Evolution of Filter Bubbles and Polarization in News Recommendation. CoRR (2023)
Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
Enhancing User Personalization in Conversational Recommenders. WWW (2023)
Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee
Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. CoRR (2023)
Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. CoRR (2023)
Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CIKM (2022)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu
End-to-End Learning for Fair Ranking Systems. WWW (2022)
Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CoRR (2022)
Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
Evolution of Popularity Bias: Empirical Study and Debiasing. CoRR (2022)
Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
Towards Fair Conversational Recommender Systems. CoRR (2022)