Index collects research on LLMs and vulnerabilities
Published on June 14, 2026, the index gathers research on using language models to detect software vulnerabilities, from function- and repository-level analysis to agentic approaches.
Published on June 14, 2026, the index is a GitHub collection of research on using large language models to detect software vulnerabilities. Its scope includes work analyzing functions and repositories, as well as research on agentic approaches.
Engineers can consult the collection to find studies on the subject. To verify the information, consult the original index and review the cited papers, their methods, and their results; the available description does not specify conclusions or performance metrics.