Research

Learning from Failures: A Failure-Driven Prompt Refinement for LLM-Based Vulnerability Analysis

Single source1 source7 Oct 2026

arXiv:2610.08405v1 Announce Type: cross Abstract: Large Language Models have emerged as promising tools for software vulnerability analysis, but their effectiveness depends heavily on prompt design.

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2610.08405

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