Evaluating Large Language Models for Software Vulnerability Detection and Patching

Large Language Models (LLMs) show promise in automating software vulnerability detection and patching, but their effectiveness remains unclear. This study introduces VulnLLMEval, a framework to assess the performance of LLMs in identifying and fixing vulnerabilities in real-world C code.