@inproceedings{
wu2023lemur,
title={Lemur:  Integrating Large Language Models in Automated Program Verification},
author={Haoze Wu and Clark Barrett and Nina Narodytska},
booktitle={The 3rd Workshop on Mathematical Reasoning and AI at NeurIPS'23},
year={2023},
url={https://openreview.net/forum?id=NxHl2SPhyT}
}
The demonstrated code-understanding capability of LLMs raises the question of whether they can be used for automated program verification, a task that typically 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 derivation rules and prove its soundness. We instantiate the calculus as a sound automated verification procedure, which led to practical improvements on a set of synthetic and competition benchmarks.
Lemur:  Integrating Large Language Models in Automated Program Verification
Haoze Wu Clark Barrett Nina Narodytska