Chieh-Yen Lin - RankMe

18 papers A* 4Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors. EACL (Volume 1: Long Papers) 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
2026	J	`jnl`	On Calibration of Large Language Models: From Response To Capability. CoRR Sin-Han Yang, Cheng-Kuang Wu, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee, Shao-Hua Sun
2025	J	`jnl`	Answer, Refuse, or Guess? Investigating Risk-Aware Decision Making in Language Models. CoRR Cheng-Kuang Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee
2025	J	`jnl`	Clear Minds Think Alike: What Makes LLM Fine-tuning Robust? A Study of Token Perplexity. CoRR Chao-Chung Wu, Zhi Rui Tam, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen
2025	J	`jnl`	Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models? CoRR Zhi Rui Tam, Cheng-Kuang Wu, Yu Ying Chiu, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee
2025	—	`conf`	None of the Above, Less of the Right Parallel Patterns in Human and LLM Performance on Multi-Choice Questions Answering. ACL (Findings) Zhi Rui Tam, Cheng-Kuang Wu, Chieh-Yen Lin, Yun-Nung Chen
2025	J	`jnl`	None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering. CoRR Zhi Rui Tam, Cheng-Kuang Wu, Chieh-Yen Lin, Yun-Nung Chen
2024	A*	`conf`	I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation. EMNLP Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen
2024	J	`jnl`	I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation. CoRR Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen
2024	—	`conf`	Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance. EMNLP (Industry Track) Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen
2024	J	`jnl`	Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models. CoRR Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen
2024	A*	`conf`	StreamBench: Towards Benchmarking Continuous Improvement of Language Agents. NeurIPS Cheng-Kuang Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee
2024	J	`jnl`	StreamBench: Towards Benchmarking Continuous Improvement of Language Agents. CoRR Cheng-Kuang Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee
2015	A*	`conf`	Warm Start for Parameter Selection of Linear Classifiers. KDD Bo-Yu Chu, Chia-Hua Ho, Cheng-Hao Tsai, Chieh-Yen Lin, Chih-Jen Lin
2014	A*	`conf`	Incremental and decremental training for linear classification. KDD Cheng-Hao Tsai, Chieh-Yen Lin, Chih-Jen Lin
2014	—	`conf`	Large-scale logistic regression and linear support vector machines using spark. IEEE BigData Chieh-Yen Lin, Cheng-Hao Tsai, Ching-pei Lee, Chih-Jen Lin
2012	—	`conf`	A Linear Ensemble of Individual and Blended Models for Music Rating Prediction. KDD Cup 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, Chieh-Yen Lin, Chien-Chih Wang, Po-Wei Wang, Wei-Lun Su, Chen-Hung Wu, Tsung-Ting Kuo, Todd G. McKenzie, Ya-Hsuan Chang, Chun-Sung Ferng, Chia-Mau Ni, Hsuan-Tien Lin, Chih-Jen Lin, Shou-De Lin
2012	—	`conf`	Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation. KDD Cup 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, Chia-Mau Ni, Wei-Lun Su, Tsung-Ting Kuo, Chen-Tse Tsai, Po-Lung Chen, Rong-Bing Chiu, Ku-Chun Chou, Yu-Cheng Chou, Chien-Chih Wang, Chen-Hung Wu, Hsuan-Tien Lin, Chih-Jen Lin, Shou-De Lin