Hsin-Tai Wu

According to our database, Hsin-Tai Wu authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems.

Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Table Transformers for imputing textual attributes.

Ting-Ruen Wei, Yuan Wang, Yoshitaka Inoue, Hsin-Tai Wu, Yi Fang

Pattern Recognit. Lett., 2024

CLERF: Contrastive LEaRning for Full Range Head Pose Estimation.

Ting-Ruen Wei, Haowei Liu, Huei-Chung Hu, Xuyang Wu, Yi Fang, Hsin-Tai Wu

CoRR, 2024

Full-range Head Pose Geometric Data Augmentations.

Huei-Chung Hu, Xuyang Wu, Haowei Liu, Ting-Ruen Wei, Hsin-Tai Wu

CoRR, 2024

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts.

Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang

CoRR, 2024

HPE-CogVLM: New Head Pose Grounding Task Exploration on Vision Language Model.

Yu Tian, Tianqi Shao, Tsukasa Demizu, Xuyang Wu, Hsin-Tai Wu

CoRR, 2024

Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models.

Xuyang Wu, Zhiyuan Peng, Sravanthi Rajanala, Hsin-Tai Wu, Yi Fang

CoRR, 2024

Mathematical Foundation and Corrections for Full Range Head Pose Estimation.

Huei-Chung Hu, Xuyang Wu, Yuan Wang, Yi Fang, Hsin-Tai Wu

CoRR, 2024

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2022

Two-sided Rank Consistent Ordinal Regression for Interpretable Music Key Recommendation.

Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang

Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

2021

Karaoke Key Recommendation Via Personalized Competence-Based Rating Prediction.

Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services.

Yuan Wang, Chenwei Wang, Yinan Ling, Keita Yokoyama, Hsin-Tai Wu, Yi Fang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning.

Mehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu, Sayandev Mukherjee

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019