3 citations · 7 across the 4 of their papers we have counts for
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cs.SE2024★ 3 cited
Reasoning Runtime Behavior of a Program with LLM: How Far Are We?
Junkai Chen, Zhiyuan Pan, Xing Hu +3
Large language models for code (i.e., code LLMs) have shown strong code understanding and generation capabilities. To evaluate the capabilities of code LLMs in various aspects, man…
cs.SE2023★ 3 cited
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types
Xin-Cheng Wen, Cuiyun Gao, Feng Luo +3
Prior studies generally focus on software vulnerability detection and have demonstrated the effectiveness of Graph Neural Network (GNN)-based approaches for the task. Considering t…
cs.SE2023
Deep Learning Based Code Generation Methods: Literature Review
Zezhou Yang, Sirong Chen, Cuiyun Gao +3
This paper focuses on Code Generation task that aims at generating relevant code fragments according to given natural language descriptions. In the process of software development,…