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cs.SE2025
Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation
Hao Yan, Swapneel Suhas Vaidya, Xiaokuan Zhang +1
Large Language Models have become powerful tools for programming. However, they often overlook essential security practices, producing insecure code with vulnerabilities. Despite t…
cs.SE2025
Distilling Desired Comments for Enhanced Code Review with Large Language Models
Yongda Yu, Lei Zhang, Guoping Rong +9
There has been a growing interest in using Large Language Models (LLMs) for code review thanks to their proven proficiency in code comprehension. The primary objective of most revi…