| 2026 | EACL | Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors. | Ren-Wei Liang, Chin-Ting Hsu, Chan-Hung Yu, Saransh Agrawal, Shih-Cheng Huang, Chieh-Yen Lin, Shang-Tse Chen, Kuan-Hao Huang, Shao-Hua Sun |
| 2025 | ACL | None of the Above, Less of the Right Parallel Patterns in Human and LLM Performance on Multi-Choice Questions Answering. | Zhi Rui Tam, Cheng-Kuang Wu, Chieh-Yen Lin, Yun-Nung Chen |
| 2024 | EMNLP | Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance. | Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen |
| 2024 | EMNLP | I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation. | Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen |
| 2015 | KDD | Warm Start for Parameter Selection of Linear Classifiers. | Bo-Yu Chu, Chia-Hua Ho, Cheng-Hao Tsai, Chieh-Yen Lin, Chih-Jen Lin |
| 2014 | KDD | Incremental and decremental training for linear classification. | Cheng-Hao Tsai, Chieh-Yen Lin, Chih-Jen Lin |