Recent work has shown that Large Language Models (LLMs) are not only a suitable tool for code generation but also capable of generating annotation-based code specifications. Scaling these methodologies may allow us to deduce provable correctness guarantees for large-scale software systems. In comparison to other LLM tasks, the application field of deductive verification has the notable advantage of providing a rigorous toolset to check LLM-generated solutions. This short paper provides early results on how this rigorous toolset can be used to reliably elicit correct specification annotations from an unreliable LLM oracle.
View on arXiv@article{teuber2025_2502.01573,
title={ Next Steps in LLM-Supported Java Verification },
author={ Samuel Teuber and Bernhard Beckert },
journal={arXiv preprint arXiv:2502.01573},
year={ 2025 }
}