AIBearisharXiv – CS AI · 6h ago7/10
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Helpful or Harmful? Evaluating LLM-Assisted Vulnerability Patching via a Human Study
Researchers conducted a human study evaluating whether Large Language Model-assisted tools improve software vulnerability patching compared to manual debugging. The study revealed that while LLMs accelerate patching speed, they risk introducing insecure code and superficial repairs that pass functional tests but fail security validation, highlighting critical trade-offs in AI-assisted security workflows.