Ziwei Zhu - RankMe

92 papers A* 14A 16B 2C 2Journal 41Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Bias Association Discovery Framework for Open-Ended LLM Generations. AAAI Jinhao Pan, Chahat Raj, Ziwei Zhu
2026	J	`jnl`	Context-Aware Decoding for Faithful Vision-Language Generation. CoRR Mehrdad Fazli, Bowen Wei, Ziwei Zhu
2026	J	`jnl`	KnowBias: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement. CoRR Jinhao Pan, Chahat Raj, Anjishnu Mukherjee, Sina Mansouri, Bowen Wei, Shloka Yada, Ziwei Zhu
2026	A*	`conf`	Making Sense of LLM Decisions: A Prototype-based Framework for Explainable Classification. AAAI Bowen Wei, Mehrdad Fazli, Ziwei Zhu
2026	J	`jnl`	Metadata Conditioned Large Language Models for Localization. CoRR Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos
2026	J	`jnl`	WISE-Flow: Workflow-Induced Structured Experience for Self-Evolving Conversational Service Agents. CoRR Yuqing Zhou, Zhuoer Wang, Jie Yuan, Hong Wang, Samson J. Koelle, Ziwei Zhu, Wei Niu
2025	J	`jnl`	Beneath the Surface: How Large Language Models Reflect Hidden Bias. CoRR Jinhao Pan, Chahat Raj, Ziyu Yao, Ziwei Zhu
2025	J	`jnl`	CORTEX: Collaborative LLM Agents for High-Stakes Alert Triage. CoRR Bowen Wei, Yuan Shen Tay, Howard Liu, Jinhao Pan, Kun Luo, Ziwei Zhu, Chris Jordan
2025	A	`conf`	Combating Heterogeneous Model Biases in Recommendations via Boosting. WSDM Jinhao Pan, James Caverlee, Ziwei Zhu
2025	A	`conf`	Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models. WACV Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos
2025	J	`jnl`	Discovering Bias Associations through Open-Ended LLM Generations. CoRR Jinhao Pan, Chahat Raj, Ziwei Zhu
2025	J	`jnl`	Federated Conversational Recommender System. CoRR Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2025	—	`conf`	Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective. NAACL (Long Papers) Yuqing Zhou, Ziwei Zhu
2025	J	`jnl`	Learning to Explain: Prototype-Based Surrogate Models for LLM Classification. CoRR Bowen Wei, Mehrdad Fazli, Ziwei Zhu
2025	J	`jnl`	Measuring South Asian Biases in Large Language Models. CoRR Mamnuya Rinki, Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu
2025	J	`jnl`	Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration. CoRR Mehrdad Fazli, Bowen Wei, Ziwei Zhu
2025	—	`conf`	ProtoLens: Advancing Prototype Learning for Fine-Grained Interpretability in Text Classification. ACL (1) Bowen Wei, Ziwei Zhu
2025	—	`conf`	Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models. ACL (2) Fardin Ahsan Sakib, Ziwei Zhu, Karen Trister Grace, Meliha Yetisgen, Özlem Uzuner
2025	J	`jnl`	Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models. CoRR Fardin Ahsan Sakib, Ziwei Zhu, Karen Trister Grace, Meliha Yetisgen, Özlem Uzuner
2025	J	`jnl`	Talent or Luck? Evaluating Attribution Bias in Large Language Models. CoRR Chahat Raj, Mahika Banerjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
2025	—	`conf`	Toward Inclusive Language Models: Sparsity-Driven Calibration for Systematic and Interpretable Mitigation of Social Biases in LLMs. EMNLP (Findings) Prommy Sultana Hossain, Chahat Raj, Ziwei Zhu, Jessica Lin, Emanuela Marasco
2025	J	`jnl`	VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models. CoRR Chahat Raj, Bowen Wei, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
2025	—	`conf`	What's Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs. EMNLP (Findings) Jinhao Pan, Chahat Raj, Ziyu Yao, Ziwei Zhu
2024	J	`jnl`	Advancing Interpretability in Text Classification through Prototype Learning. CoRR Bowen Wei, Ziwei Zhu
2024	B	`conf`	Analyzing the Impact of Domain Similarity: A New Perspective in Cross-Domain Recommendation. IJCNN Ajay Krishna Vajjala, Arun Krishna Vajjala, Ziwei Zhu, David S. Rosenblum
2024	J	`jnl`	Assessing Large Language Models for Online Extremism Research: Identification, Explanation, and New Knowledge. CoRR Beidi Dong, Jin R. Lee, Ziwei Zhu, Balassubramanian Srinivasan
2024	—	`conf`	BiasDora: Exploring Hidden Biased Associations in Vision-Language Models. EMNLP (Findings) Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
2024	J	`jnl`	BiasDora: Exploring Hidden Biased Associations in Vision-Language Models. CoRR Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
2024	—	`conf`	Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis. AIES (1) Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
2024	J	`jnl`	Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis. CoRR Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
2024	A*	`conf`	Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. WWW Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu
2024	—	`conf`	Countering Mainstream Bias via End-to-End Adaptive Local Learning. ECIR (5) Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
2024	J	`jnl`	Countering Mainstream Bias via End-to-End Adaptive Local Learning. CoRR Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
2024	J	`jnl`	Cross-Domain Recommendation Meets Large Language Models. CoRR Ajay Krishna Vajjala, Dipak Falgun Meher, Ziwei Zhu, David S. Rosenblum
2024	J	`jnl`	Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models. CoRR Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos
2024	—	`conf`	Federated Conversational Recommender Systems. ECIR (5) Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2024	—	`conf`	Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning. NAACL-HLT Anjishnu Mukherjee, Aylin Caliskan, Ziwei Zhu, Antonios Anastasopoulos
2024	—	`conf`	Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models. EMNLP (Findings) Yuqing Zhou, Ruixiang Tang, Ziyu Yao, Ziwei Zhu
2024	J	`jnl`	Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models. CoRR Yuqing Zhou, Ruixiang Tang, Ziyu Yao, Ziwei Zhu
2024	J	`jnl`	Neural Symbolic Logical Rule Learner for Interpretable Learning. CoRR Bowen Wei, Ziwei Zhu
2024	B	`conf`	ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System. IEEE Big Data Rahul Pandey, Ziwei Zhu, Hemant Purohit
2024	J	`jnl`	ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System. CoRR Rahul Pandey, Ziwei Zhu, Hemant Purohit
2024	—	`conf`	SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models. ECIR (5) Chahat Raj, Anjishnu Mukherjee, Hemant Purohit, Antonios Anastasopoulos, Ziwei Zhu
2024	J	`jnl`	Towards Robust Text Classification: Mitigating Spurious Correlations with Causal Learning. CoRR Yuqing Zhou, Ziwei Zhu
2024	A	`conf`	Vietoris-Rips Complex: A New Direction for Cross-Domain Cold-Start Recommendation. SDM Ajay Krishna Vajjala, Dipak Falgun Meher, Shrunal Pothagoni, Ziwei Zhu, David S. Rosenblum
2023	A	`conf`	A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation. CIKM Yuqing Zhou, Tianshu Feng, Mingrui Liu, Ziwei Zhu
2023	J	`jnl`	Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning. CoRR Zheyuan Liu, Guangyao Dou, Yijun Tian, Chunhui Zhang, Eli Chien, Ziwei Zhu
2023	J	`jnl`	Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. CoRR Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee
2023	—	`conf`	Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. EMNLP (Findings) Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee
2023	A	`conf`	Demo: EMSAssist - An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services. MobiSys Liuyi Jin, Tian Liu, Amran Haroon, Radu Stoleru, Michael Middleton, Ziwei Zhu, Theodora Chaspari
2023	A	`conf`	EMSAssist: An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services. MobiSys Liuyi Jin, Tian Liu, Amran Haroon, Radu Stoleru, Michael Middleton, Ziwei Zhu, Theodora Chaspari
2023	A*	`conf`	Enhancing User Personalization in Conversational Recommenders. WWW Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
2023	J	`jnl`	Enhancing User Personalization in Conversational Recommenders. CoRR Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
2023	—	`conf`	Evolution of Filter Bubbles and Polarization in News Recommendation. ECIR (2) Han Zhang, Ziwei Zhu, James Caverlee
2023	J	`jnl`	Evolution of Filter Bubbles and Polarization in News Recommendation. CoRR Han Zhang, Ziwei Zhu, James Caverlee
2023	A*	`conf`	Global Voices, Local Biases: Socio-Cultural Prejudices across Languages. EMNLP Anjishnu Mukherjee, Chahat Raj, Ziwei Zhu, Antonios Anastasopoulos
2023	J	`jnl`	Global Voices, Local Biases: Socio-Cultural Prejudices across Languages. CoRR Anjishnu Mukherjee, Chahat Raj, Ziwei Zhu, Antonios Anastasopoulos
2023	—	`conf`	PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. ACL (Findings) Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
2023	J	`jnl`	PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. CoRR Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
2023	C	`conf`	True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning. AIES Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu
2023	—	`conf`	Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model. EMNLP (Findings) Zhuoer Wang, Yicheng Wang, Ziwei Zhu, James Caverlee
2023	J	`jnl`	Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model. CoRR Zhuoer Wang, Yicheng Wang, Ziwei Zhu, James Caverlee
2022	A*	`conf`	End-to-End Learning for Fair Ranking Systems. WWW James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu
2022	J	`jnl`	Evolution of Popularity Bias: Empirical Study and Debiasing. CoRR Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
2022	A	`conf`	Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning. WSDM Ziwei Zhu, James Caverlee
2022	A	`conf`	Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CIKM Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2022	J	`jnl`	Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CoRR Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2022	J	`jnl`	Towards Fair Conversational Recommender Systems. CoRR Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
2021	J	`jnl`	End-to-end Learning for Fair Ranking Systems. CoRR James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu
2021	A*	`conf`	Fairness among New Items in Cold Start Recommender Systems. SIGIR Ziwei Zhu, Jingu Kim, Trung Nguyen, Aish Fenton, James Caverlee
2021	J	`jnl`	Fairness-aware Personalized Ranking Recommendation via Adversarial Learning. CoRR Ziwei Zhu, Jianling Wang, James Caverlee
2021	A*	`conf`	Popularity Bias in Dynamic Recommendation. KDD Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
2021	A	`conf`	Popularity-Opportunity Bias in Collaborative Filtering. WSDM Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee
2021	A*	`conf`	Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests. WWW Xing Zhao, Ziwei Zhu, James Caverlee
2021	A	`conf`	Session-based Recommendation with Hypergraph Attention Networks. SDM Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee
2021	J	`jnl`	Session-based Recommendation with Hypergraph Attention Networks. CoRR Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee
2020	A*	`conf`	Addressing the Target Customer Distortion Problem in Recommender Systems. WWW Xing Zhao, Ziwei Zhu, Majid Alfifi, James Caverlee
2020	A	`conf`	Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. RecSys Yin Zhang, Ziwei Zhu, Yun He, James Caverlee
2020	A	`conf`	Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations. WSDM Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee
2020	—	`conf`	Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. EMNLP (1) Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
2020	J	`jnl`	Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. CoRR Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
2020	A	`conf`	Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. WSDM Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee
2020	A*	`conf`	Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. SIGIR Ziwei Zhu, Jianling Wang, James Caverlee
2020	A*	`conf`	Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation. SIGIR Ziwei Zhu, Shahin Sefati, Parsa Saadatpanah, James Caverlee
2020	A	`conf`	Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning. RecSys Ziwei Zhu, Yun He, Yin Zhang, James Caverlee
2020	A	`conf`	User Recommendation in Content Curation Platforms. WSDM Jianling Wang, Ziwei Zhu, James Caverlee
2019	A*	`conf`	Improving Top-K Recommendation via JointCollaborative Autoencoders. WWW Ziwei Zhu, Jianling Wang, James Caverlee
2019	J	`jnl`	Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. CoRR Yun He, Haochen Chen, Ziwei Zhu, James Caverlee
2018	J	`jnl`	Fairness-Aware Recommendation of Information Curators. CoRR Ziwei Zhu, Jianling Wang, Yin Zhang, James Caverlee
2018	A	`conf`	Fairness-Aware Tensor-Based Recommendation. CIKM Ziwei Zhu, Xia Hu, James Caverlee
2018	A*	`conf`	Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. ICDM Yun He, Haochen Chen, Ziwei Zhu, James Caverlee
2017	C	`conf`	Modeling and detecting student attention and interest level using wearable computers. BSN Ziwei Zhu, Sebastian W. Ober, Roozbeh Jafari