A Linear Ensemble of Individual and Blended Models for Music Rating Prediction. - Po-Lung Chen; Chen-Tse Tsai; Yao-Nan Chen; Ku-Chun Chou; Chun-Liang Li; Cheng-Hao Tsai; Kuan-Wei Wu; Yu-Cheng Chou; Chung-Yi Li; Wei-Shih Lin; Shu-Hao Yu; Rong-Bing Chiu; et al. (KDD Cup, 2012)

Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation. - Todd G. McKenzie; Chun-Sung Ferng; Yao-Nan Chen; Chun-Liang Li; Cheng-Hao Tsai; Kuan-Wei Wu; Ya-Hsuan Chang; Chung-Yi Li; Wei-Shih Lin; Shu-Hao Yu; Chieh-Yen Lin; Po-Wei Wang; et al. (KDD Cup, 2012)

Large-scale logistic regression and linear support vector machines using spark. - Chieh-Yen Lin; Cheng-Hao Tsai; Ching-Pei Lee; Chih-Jen Lin (IEEE BigData, 2014)

Incremental and decremental training for linear classification. - Cheng-Hao Tsai; Chieh-Yen Lin; Chih-Jen Lin (KDD, 2014)

Warm Start for Parameter Selection of Linear Classifiers. - Bo-Yu Chu; Chia-Hua Ho; Cheng-Hao Tsai; Chieh-Yen Lin; Chih-Jen Lin (KDD, 2015)

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 (EMNLP (Industry Track), 2024)

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 (EMNLP, 2024)

StreamBench: Towards Benchmarking Continuous Improvement of Language Agents. - Cheng-Kuang Wu; Zhi Rui Tam; Chieh-Yen Lin; Yun-Nung Chen; Hung-yi Lee (NeurIPS, 2024)

Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models. - Zhi Rui Tam; Cheng-Kuang Wu; Yi-Lin Tsai; Chieh-Yen Lin; Hung-yi Lee; Yun-Nung Chen (CoRR, 2024)

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 (ACL (Findings), 2025)

Clear Minds Think Alike: What Makes LLM Fine-tuning Robust? A Study of Token Perplexity. - Chao-Chung Wu; Zhi Rui Tam; Chieh-Yen Lin; Hung-yi Lee; Yun-Nung Chen (CoRR, 2025)

Answer, Refuse, or Guess? Investigating Risk-Aware Decision Making in Language Models. - Cheng-Kuang Wu; Zhi Rui Tam; Chieh-Yen Lin; Yun-Nung Chen; Hung-yi Lee (CoRR, 2025)

None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering. - Zhi Rui Tam; Cheng-Kuang Wu; Chieh-Yen Lin; Yun-Nung Chen (CoRR, 2025)

Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models? - Zhi Rui Tam; Cheng-Kuang Wu; Yu Ying Chiu; Chieh-Yen Lin; Yun-Nung Chen; Hung-yi Lee (CoRR, 2025)