Ziwei Zhu

David S. Rosenblum

Proceedings of the International Joint Conference on Neural Networks, 2024

Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

BiasDora: Exploring Hidden Biased Associations in Vision-Language Models.

[BibT_eX]

[DOI]

Aylin Caliskan

Antonios Anastasopoulos

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models.

[BibT_eX]

[DOI]

Hemant Purohit

Antonios Anastasopoulos

Proceedings of the Advances in Information Retrieval, 2024

Countering Mainstream Bias via End-to-End Adaptive Local Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2024

Federated Conversational Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2024

2023

Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning.

[BibT_eX]

[DOI]

CoRR, 2023

Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing User Personalization in Conversational Recommenders.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Demo: EMSAssist - An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

EMSAssist: An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Global Voices, Local Biases: Socio-Cultural Prejudices across Languages.

[BibT_eX]

[DOI]

Antonios Anastasopoulos

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evolution of Filter Bubbles and Polarization in News Recommendation.

[BibT_eX]

[DOI]

Han Zhang

Proceedings of the Advances in Information Retrieval, 2023

A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Towards Fair Conversational Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Evolution of Popularity Bias: Empirical Study and Debiasing.

[BibT_eX]

[DOI]

CoRR, 2022

End-to-End Learning for Fair Ranking Systems.

[BibT_eX]

[DOI]

James Kotary

Ferdinando Fioretto

Pascal Van Hentenryck

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Fairness-aware Personalized Ranking Recommendation via Adversarial Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests.

[BibT_eX]

[DOI]

Xing Zhao

Proceedings of the WWW '21: The Web Conference 2021, 2021

Popularity-Opportunity Bias in Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Fairness among New Items in Cold Start Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Session-based Recommendation with Hypergraph Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Popularity Bias in Dynamic Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Addressing the Target Customer Distortion Problem in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

User Recommendation in Content Curation Platforms.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Improving Top-K Recommendation via JointCollaborative Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

2018

Fairness-Aware Recommendation of Information Curators.

[BibT_eX]

[DOI]

CoRR, 2018

Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Fairness-Aware Tensor-Based Recommendation.

[BibT_eX]

[DOI]

Xia Hu

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Modeling and detecting student attention and interest level using wearable computers.

[BibT_eX]

[DOI]