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Divergence in CVSS scores can lead to a 40% drop in prediction accuracy when using historical data from different vulnerability sources.
LLM-assisted patching can accelerate remediation but may compromise security, revealing a critical trade-off in software vulnerability management.
LLMs can't reliably automate security-specific qualitative analysis of human subject comments, even with detailed codebooks and annotation best practices.
