Paper-Conference

VulRAG: Code Vulnerability Repair by Retrieval-Augmented Generation
Yifan Zhang, Jiliang Li, Kexin Pei, Yu Huang, Kevin Leach
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
Jiliang Li, Yifan Zhang, Yu Huang, Kevin Leach
A Comparative Study on ChatGPT and Checklist as Support Tools for Unit Testing Education
Zihan Fang, Jiliang Li, Anda Liang, Gina R. Bai, Yu Huang
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization
Neural code summarization leverages deep learning models to automatically generate brief natural language summaries of code snippets. …
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
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Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization
Recent language models have demonstrated proficiency in summarizing source code. However, as in many other domains of machine learning, …
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
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Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization