About this document
LLM Prompt Engineering for Vulnerability Detection by m.ssiinnaa66 is a document available to read on EtoBox.
This paper explores the effectiveness of Large Language Models (LLMs) in software vulnerability detection, focusing on prompt engineering to enhance their performance. It evaluates zero-shot and few-shot learning approaches, revealing that LLMs often misclassify code as vulnerable without additional context, indicating a need for more robust frameworks. The study suggests that incorporating domain-specific knowledge can improve detection accuracy and encourages further research in this area.
- Author
- m.ssiinnaa66
- Language
- EN