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2020 – today
- 2024
[c5]Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang:
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers. NAACL-HLT 2024: 5712-5724- [i10]Huei-Chung Hu, Xuyang Wu, Yuan Wang, Yi Fang, Hsin-Tai Wu:
Mathematical Foundation and Corrections for Full Range Head Pose Estimation. CoRR abs/2403.18104 (2024) - [i9]Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang:
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers. CoRR abs/2404.03192 (2024) - [i8]Xuyang Wu, Zhiyuan Peng, Sravanthi Rajanala, Hsin-Tai Wu, Yi Fang:
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models. CoRR abs/2405.20654 (2024) - [i7]Yu Tian, Tianqi Shao, Tsukasa Demizu, Xuyang Wu, Hsin-Tai Wu:
HPE-CogVLM: New Head Pose Grounding Task Exploration on Vision Language Model. CoRR abs/2406.01914 (2024) - [i6]Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang:
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts. CoRR abs/2406.17974 (2024) - [i5]Huei-Chung Hu, Xuyang Wu, Haowei Liu, Ting-Ruen Wei, Hsin-Tai Wu:
Full-range Head Pose Geometric Data Augmentations. CoRR abs/2408.01566 (2024) - [i4]Ting-Ruen Wei, Yuan Wang, Yoshitaka Inoue, Hsin-Tai Wu, Yi Fang:
Table Transformers for Imputing Textual Attributes. CoRR abs/2408.02128 (2024) - [i3]Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang:
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems. CoRR abs/2409.19804 (2024) - 2022
- [c4]Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang:
Two-sided Rank Consistent Ordinal Regression for Interpretable Music Key Recommendation. ICTIR 2022: 223-231 - 2021
- [c3]Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang:
Karaoke Key Recommendation Via Personalized Competence-Based Rating Prediction. ICASSP 2021: 286-290 - 2020
- [c2]Yuan Wang, Chenwei Wang, Yinan Ling, Keita Yokoyama, Hsin-Tai Wu, Yi Fang:
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services. IEEE BigData 2020: 1273-1282 - [i2]Yuan Wang, Chenwei Wang, Yinan Ling, Keita Yokoyama, Hsin-Tai Wu, Yi Fang:
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services. CoRR abs/2011.03158 (2020)
2010 – 2019
- 2019
- [c1]Mehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu, Sayandev Mukherjee:
PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning. ICMLA 2019: 769-776 - 2018
- [i1]Mehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu, Sayandev Mukherjee:
PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning. CoRR abs/1812.10049 (2018)
Coauthor Index
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