Hong Yi Lin

According to our database, Hong Yi Lin authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

Leveraging Reviewer Experience in Code Review Comment Generation.

Hong Yi Lin, Patanamon Thongtanunam, Christoph Treude, Michael W. Godfrey, Chunhua Liu, Wachiraphan Charoeanwet

ACM Trans. Softw. Eng. Methodol., May, 2026

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision.

Hong Yi Lin, Chunhua Liu, Haoyu Gao, Patanamon Thongtanunam, Christoph Treude

CoRR, April, 2026

Does My README File Need To Be Updated? Exploring LLM-Based README Maintenance.

Haoyu Gao, Hong Yi Lin, Christoph Treude, Gregory Gay, Mansooreh Zahedi

CoRR, March, 2026

AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection.

Wachiraphan Charoenwet, Chakkrit Kla Tantithamthavorn, Patanamon Thongtanunam, Hong Yi Lin, Minwoo Jeong, Ming Wu

CoRR, January, 2026

HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation.

Chakkrit Kla Tantithamthavorn, Hong Yi Lin, Patanamon Thongtanunam, Wachiraphan Charoenwet, Minwoo Jeong, Ming Wu

CoRR, January, 2026

2025

AI Safety in the Eyes of the Downstream Developer: A First Look at Concerns, Practices, and Challenges.

Haoyu Gao, Mansooreh Zahedi, Wenxin Jiang, Hong Yi Lin, James Davis, Christoph Treude

CoRR, March, 2025

Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification.

Linh Nguyen, Chunhua Liu, Hong Yi Lin, Patanamon Thongtanunam

Proceedings of the 2025 IEEE International Conference on Source Code Analysis & Manipulation, 2025

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation.

Chunhua Liu, Hong Yi Lin, Patanamon Thongtanunam

Proceedings of the 22nd IEEE/ACM International Conference on Mining Software Repositories, 2025

Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks.

Kyi Shin Khant, Hong Yi Lin, Patanamon Thongtanunam

Proceedings of the 22nd IEEE/ACM International Conference on Mining Software Repositories, 2025

What Types of Code Review Comments Do Developers Most Frequently Resolve?

Saul Goldman, Hong Yi Lin, Jirat Pasuksmit, Patanamon Thongtanunam, Chakkrit Kla Tantithamthavorn, Zhe Wang, Ray Zhang, Ali Behnaz, Fan Jiang, Michael Siers, Ryan Jiang, Mike Buller, Minwoo Jeong, Ming Wu

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics.

Chunhua Liu, Hong Yi Lin, Patanamon Thongtanunam

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models.

Hong Yi Lin, Chunhua Liu, Haoyu Gao, Patanamon Thongtanunam, Christoph Treude

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

2024

Improving Automated Code Reviews: Learning From Experience.

Hong Yi Lin, Patanamon Thongtanunam, Christoph Treude, Wachiraphan Charoeanwet

Dataset, April, 2024

Improving Automated Code Reviews: Learning from Experience.

Hong Yi Lin, Patanamon Thongtanunam, Christoph Treude, Wachiraphan Charoenwet

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

2023

Towards Automated Code Reviews: Does Learning Code Structure Help?

Hong Yi Lin, Patanamon Thongtanunam

Proceedings of the IEEE International Conference on Software Analysis, 2023