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Llm4vuln: A Unified Evaluation Framework For Decoupling And Enhancing Llms' Vulnerability Reasoning

Abstract

Large language models (LLMs) have demonstrated significant potential in various tasks, including those requiring human-level intelligence, such as vulnerability detection. However, recent efforts to use LLMs for vulnerability detection remain preliminary, as they lack a deep understanding of whether a subject LLM's vulnerability reasoning capability stems from the model itself or from external aid

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