AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment
Published in Under Review, 2026
Recommended citation: Kuei-Chun Kao, Daixuan Huo, Yuanhao Ban, Cho-Jui Hsieh
Publications
Understanding Reward Hacking in Text-to-Image Reinforcement Learning
Published in CVPR, 2026
Recommended citation: Yunqi Hong, Kuei-Chun Kao, Hengguang Zhou, Cho-Jui Hsieh
QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models
Published in EMNLP, 2025
Recommended citation: Kuei-Chun Kao, Hsu Tzu-Yin, Yunqi Hong, Ruochen Wang, Cho-Jui Hsieh
When Killing-Time Periods Don’t Boost Notification Engagement: Insights from a Multimodal Large Language Model Analysis of Smartphone Screen Activity
Published in IJHCS, 2025
Recommended citation: Yung-Ju Chang, Kuei-Chun Kao, Yu-Chun Chen, Yu-Jen Lee, Mu-Jung Cho, Yikun Chi, Nilam Ram, Thomas Robinson, Byron Reeves
Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns?
Published in EMNLP, 2024
Recommended citation: Kuei-Chun Kao, Ruochen Wang, Cho-Jui Hsieh
Knowledge-Guided Algebra Word Problem Solving
Published in Arxiv, 2024
- Preprint
- Code
Recommended citation: Kuei-Chun Kao, Chao-Chun Liang, Keh-Yih Su
Are You Killing Time? Predicting Smartphone Users’ Time-killing Moments via Fusion of Smartphone Sensor Data and Screenshots
Published in CHI, 2023
Recommended citation: Yu-Chun Chen, Yu-Jen Lee, Kuei-Chun Kao, Jie Tsai, En-Chi Liang, Wei-Chen Chiu, Faye Shih, Yung-Ju Chang
Killing-Time Detection from Smartphone Screenshots
Published in UbiComp, 2021
Recommended citation: Yu-Chun Chen*, Kuei-Chun Kao*, Yu-Jen Lee, Faye Shih, Wei-Chen Chiu, Yung-Ju Chang (* indicates equal contribution)