AutoACSL integrates CPG-based static analysis into LLM prompts to synthesize ACSL specs for C programs, reporting 98% generation success and 96% full proof ratio with Gemini-3 on 604 programs, with 24.7-51.7% gains over code-only baselines.
Can ChatGPT support software verification?
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Authors add multiple LTL-based verification feedback loops using two different LLMs to an existing natural-language mission planner for agricultural robots to ensure plans satisfy user specifications.
citing papers explorer
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As You Wish: Mission Planning with Formal Verification using LLMs in Precision Agriculture
Authors add multiple LTL-based verification feedback loops using two different LLMs to an existing natural-language mission planner for agricultural robots to ensure plans satisfy user specifications.