| 2025 | COLING | Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems. | Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang |
| 2025 | EMNLP | Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning. | Xuyang Wu, Jinming Nian, Ting-Ruen Wei, Zhiqiang Tao, Hsin-Tai Wu, Yi Fang |
| 2025 | EMNLP | Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts. | Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang |
| 2024 | NAACL | Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers. | Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang |
| 2022 | ICTIR | Two-sided Rank Consistent Ordinal Regression for Interpretable Music Key Recommendation. | Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang |
| 2021 | ICASSP | Karaoke Key Recommendation Via Personalized Competence-Based Rating Prediction. | Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang |
| 2019 | ICMLA | PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning. | Mehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu, Sayandev Mukherjee |