20 citations · 46 across the 8 of their papers we have counts for
8 papers
COMCAT: Leveraging Human Judgment to Improve Automatic Documentation and Summarization
Skyler Grandel, Scott Thomas Andersen, Yu Huang +1
Software maintenance constitutes a substantial portion of the total lifetime costs of software, with a significant portion attributed to code comprehension. Software comprehension…
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets
Preston K. Robinette, Diego Manzanas Lopez, Serena Serbinowska +2
Malware, or software designed with harmful intent, is an ever-evolving threat that can have drastic effects on both individuals and institutions. Neural network malware classificat…
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification
Zhijian Li, Stefan Larson, Kevin Leach
Intent classifiers must be able to distinguish when a user's utterance does not belong to any supported intent to avoid producing incorrect and unrelated system responses. Although…
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization
Yifan Zhang, Jiliang Li, Zachary Karas +5
Neural code summarization leverages deep learning models to automatically generate brief natural language summaries of code snippets. The development of Transformer models has led…
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization
Jiliang Li, Yifan Zhang, Zachary Karas +3
Recent language models have demonstrated proficiency in summarizing source code. However, as in many other domains of machine learning, language models of code lack sufficient expl…
Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries
Jason Kim, Daniel Genkin, Kevin Leach
A binary's behavior is greatly influenced by how the compiler builds its source code. Although most compiler configuration details are abstracted away during compilation, recoverin…