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arXiv · 2310.04870

Lemur: Integrating Large Language Models in Automated Program Verification

Haoze Wu·Clark Barrett·Nina Narodytska
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Abstract

The demonstrated code-understanding capability of LLMs raises the question of whether they can be used for automated program verification, a task that demands high-level abstract reasoning about program properties that is challenging for verification tools. We propose a general methodology to combine the power of LLMs and automated reasoners for automated program verification. We formally describe this methodology as a set of transition rules and prove its soundness. We instantiate the calculus as a sound automated verification procedure and demonstrate practical improvements on a set of synthetic and competition benchmarks.

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Haoze Wu, Clark Barrett, Nina Narodytska. 2023-10-07. Lemur: Integrating Large Language Models in Automated Program Verification. https://arxiv.org/abs/2310.04870

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