AI RESEARCH
Natural Language based Specification and Verification
arXiv CS.AI
•
ArXi:2605.11315v1 Announce Type: cross Recent frontier large language models (LLMs) have shown strong performance in identifying security vulnerabilities in large, mature open-source systems. As LLM-generated code becomes increasingly common, a natural goal is to prevent such models from producing vulnerable implementations in the first place. Formal verification offers a principled route to this objective, but existing verification pipelines typically require specifications written in rigid formal languages.