Modeling Programmer Attention as Scanpath Prediction. - Aakash Bansal; Chia-Yi Su; Zachary Karas; Yifan Zhang; Yu Huang 015; Toby Jia-Jun Li; Collin McMillan (ASE, 2023)

A Language Model of Java Methods with Train/Test Deduplication. - Chia-Yi Su; Aakash Bansal; Vijayanta Jain; Sepideh Ghanavati; Collin McMillan (ESEC/SIGSOFT FSE, 2023)

Context-aware Code Summary Generation. - Chia-Yi Su; Aakash Bansal; Yu Huang 015; Toby Jia-Jun Li; Collin McMillan (CoRR, 2024)

Distilled GPT for source code summarization. - Chia-Yi Su; Collin McMillan (Autom. Softw. Eng., 2024)

Revisiting file context for source code summarization. - Chia-Yi Su; Aakash Bansal; Collin McMillan (Autom. Softw. Eng., 2024)

Semantic similarity loss for neural source code summarization. - Chia-Yi Su; Collin McMillan (J. Softw. Evol. Process., 2024)

Which Code Statements Implement Privacy Behaviors in Android Applications? - Chia-Yi Su; Aakash Bansal; Vijayanta Jain; Sepideh Ghanavati; Sai Teja Peddinti; Collin McMillan (CoRR, 2025)

AI-Mediated Code Comment Improvement. - Maria Dhakal; Chia-Yi Su; Robert Wallace; Chris Fakhimi; Aakash Bansal; Toby Jia-Jun Li; Yu Huang 015; Collin McMillan (CoRR, 2025)

Do Code LLMs Do Static Analysis? - Chia-Yi Su; Collin McMillan (CoRR, 2025)