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Enhancing LLM-Based Vulnerability Detection via Representation-Aware Logical Ensemble

Grasso, Francesco Crescenzo et al.
arXiv (All) · Papers
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cryptography-and-security
Automated vulnerability detection in C source code is a long-standing challenge, as traditional static analysis tools often trade precision for scalability and struggle with complex vulnerability patterns. Recently, large language models (LLMs) have shown promising results; yet, most approaches rely
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