Chia-Yi Su

According to our database, Chia-Yi Su authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Do Code LLMs Do Static Analysis?

Chia-Yi Su, Collin McMillan

CoRR, May, 2025

AI-Mediated Code Comment Improvement.

Maria Dhakal, Chia-Yi Su, Robert Wallace, Chris Fakhimi, Aakash Bansal, Toby Jia-Jun Li, Yu Huang, Collin McMillan

CoRR, May, 2025

Which Code Statements Implement Privacy Behaviors in Android Applications?

Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan

CoRR, March, 2025

2024

Semantic similarity loss for neural source code summarization.

Chia-Yi Su, Collin McMillan

J. Softw. Evol. Process., November, 2024

Revisiting file context for source code summarization.

Chia-Yi Su, Aakash Bansal, Collin McMillan

Autom. Softw. Eng., November, 2024

Distilled GPT for source code summarization.

Chia-Yi Su, Collin McMillan

Autom. Softw. Eng., June, 2024

Context-aware Code Summary Generation.

Chia-Yi Su, Aakash Bansal, Yu Huang, Toby Jia-Jun Li, Collin McMillan

CoRR, 2024

2023

A Language Model of Java Methods with Train/Test Deduplication.

Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Collin McMillan

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Modeling Programmer Attention as Scanpath Prediction.

Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023