arXiv:2610.24907v1 Announce Type: new Abstract: Despite rapid progress in LLM-based code generation, security vulnerabilities remain widespread, and retrieval-augmented code generation (RACG) can further amplify risk when retrieved knowledge is verbose or vulnerable to poisoning.
CAT-RAG: Improving Secure Code Generation with Category-Aware Agentic Retrieval
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