AutoSafeLTL combines LLMs with language inclusion checks and counterexample-guided refinement to produce LTL specifications that satisfy safety restrictions while preserving logical consistency, reporting 0% violation rate in experiments.
Onthelanguageinclusionproblemfortimedautomata: closing a decidability gap
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Automatic Generation of Safety-compliant Linear Temporal Logic via Large Language Model: A Self-supervised Framework
AutoSafeLTL combines LLMs with language inclusion checks and counterexample-guided refinement to produce LTL specifications that satisfy safety restrictions while preserving logical consistency, reporting 0% violation rate in experiments.