Chieh-Yen Lin

According to our database, Chieh-Yen Lin authored at least 14 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, May, 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, March, 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, March, 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, January, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

StreamBench: Towards Benchmarking Continuous Improvement of Language Agents.

Cheng-Kuang Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2015

Warm Start for Parameter Selection of Linear Classifiers.

Bo-Yu Chu, Chia-Hua Ho, Cheng-Hao Tsai, Chieh-Yen Lin, Chih-Jen Lin

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Incremental and decremental training for linear classification.

Cheng-Hao Tsai, Chieh-Yen Lin, Chih-Jen Lin

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Large-scale logistic regression and linear support vector machines using spark.

Chieh-Yen Lin, Cheng-Hao Tsai, Ching-Pei Lee, Chih-Jen Lin

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

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, 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

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

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, 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

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012