Aakash Bansal

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 29

Top Topics

Impact Analysis

Similarity Metric

Top Venues

IEEE Trans. Software Eng.

Publications

Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. CoRR (2024)
Aakash Bansal, Robert Wallace, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
Programmer Visual Attention During Context-Aware Code Summarization. CoRR (2024)
Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions. CoRR (2024)
Ningzhi Tang, Junwen An, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE. ICSE Companion (2024)
Aakash Bansal, Bonita Sharif, Collin McMillan
Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization. Proc. ACM Hum. Comput. Interact. 7 (ETRA) (2023)
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)
Sakib Haque, Aakash Bansal, Collin McMillan
Label Smoothing Improves Neural Source Code Summarization. ICPC (2023)
Aakash Bansal, Bonita Sharif, Collin McMillan
Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization. CoRR (2023)
Sakib Haque, Aakash Bansal, Collin McMillan
Label Smoothing Improves Neural Source Code Summarization. CoRR (2023)
Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Collin McMillan
A Language Model of Java Methods with Train/Test Deduplication. CoRR (2023)
Aakash Bansal, Siyuan Jiang, Sakib Haque, Collin McMillan
Statement-based Memory for Neural Source Code Summarization. CoRR (2023)
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)
Aakash Bansal, Zachary Eberhart, Zachary Karas, Yu Huang, Collin McMillan
Function Call Graph Context Encoding for Neural Source Code Summarization. IEEE Trans. Software Eng. 49 (9) (2023)
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
Modeling Programmer Attention as Scanpath Prediction. CoRR (2023)
Aakash Bansal, Chia-Yi Su, Collin McMillan
Revisiting File Context for Source Code Summarization. CoRR (2023)
Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan
Semantic Similarity Metrics for Evaluating Source Code Summarization. CoRR (2022)
Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan
Semantic similarity metrics for evaluating source code summarization. ICPC (2022)
Zachary Eberhart, Aakash Bansal, Collin McMillan
A Wizard of Oz Study Simulating API Usage Dialogues With a Virtual Assistant. IEEE Trans. Software Eng. 48 (6) (2022)
Zachary Eberhart, Aakash Bansal, Collin McMillan
A Wizard of Oz Study Simulating API Usage Dialogues with a Virtual Assistant. CoRR (2021)
Alexander LeClair, Aakash Bansal, Collin McMillan
Ensemble Models for Neural Source Code Summarization of Subroutines. ICSME (2021)
Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan
A Neural Question Answering System for Basic Questions about Subroutines. SANER (2021)
Aakash Bansal, Sakib Haque, Collin McMillan
Project-Level Encoding for Neural Source Code Summarization of Subroutines. ICPC (2021)
Sakib Haque, Aakash Bansal, Lingfei Wu, Collin McMillan
Action Word Prediction for Neural Source Code Summarization. SANER (2021)
Sakib Haque, Aakash Bansal, Lingfei Wu, Collin McMillan
Action Word Prediction for Neural Source Code Summarization. CoRR (2021)
Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan
A Neural Question Answering System for Basic Questions about Subroutines. CoRR (2021)
Alexander LeClair, Aakash Bansal, Collin McMillan
Ensemble Models for Neural Source Code Summarization of Subroutines. CoRR (2021)
Aakash Bansal, Sakib Haque, Collin McMillan
Project-Level Encoding for Neural Source Code Summarization of Subroutines. CoRR (2021)
Zachary Eberhart, Aakash Bansal, Collin McMillan
The Apiza Corpus: API Usage Dialogues with a Simulated Virtual Assistant. CoRR (2020)