DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection

Large language models (LLMs) are increasingly applied to vulnerability detection due to their strong code comprehension capabilities, but most existing approaches rely on isolated functions or context extracted by fixed program-analysis rules. These methods cannot adaptively explore repository-level...