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2020 – today
- 2024
[j1]Chia-Yi Su, Collin McMillan:
Distilled GPT for source code summarization. Autom. Softw. Eng. 31(1): 22 (2024)- [i6]Chia-Yi Su, Aakash Bansal, Yu Huang, Toby Jia-Jun Li, Collin McMillan:
Context-aware Code Summary Generation. CoRR abs/2408.09006 (2024) - 2023
- [c2]Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan:
Modeling Programmer Attention as Scanpath Prediction. ASE 2023: 1732-1736 - [c1]Chia-Yi Su
, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Collin McMillan:
A Language Model of Java Methods with Train/Test Deduplication. ESEC/SIGSOFT FSE 2023: 2152-2156 - [i5]Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Collin McMillan:
A Language Model of Java Methods with Train/Test Deduplication. CoRR abs/2305.08286 (2023) - [i4]Chia-Yi Su, Collin McMillan:
Semantic Similarity Loss for Neural Source Code Summarization. CoRR abs/2308.07429 (2023) - [i3]Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan:
Modeling Programmer Attention as Scanpath Prediction. CoRR abs/2308.13920 (2023) - [i2]Chia-Yi Su, Collin McMillan:
Distilled GPT for Source Code Summarization. CoRR abs/2308.14731 (2023) - [i1]Aakash Bansal, Chia-Yi Su, Collin McMillan:
Revisiting File Context for Source Code Summarization. CoRR abs/2309.02326 (2023)
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