CWE-specific natural language instructions with contrastive chain-of-thought prompts let LLMs beat default static analyzers on partial-code vulnerability detection for four CWEs.
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Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection
CWE-specific natural language instructions with contrastive chain-of-thought prompts let LLMs beat default static analyzers on partial-code vulnerability detection for four CWEs.