The Diproche system is an automated proof checker for texts written in a controlled fragment of German, designed for didactical applications in classes introducing students to proofs for the first time. The first version of the system used a controlled natural language for which a Prolog formalization routine was written. In this paper, we explore the possibility of prompting large language models for autoformalization in the context of Diproche, with encouraging first results.
@article{arxiv.2303.17513,
title = {Improving the Diproche CNL through Autoformalization via Large Language Models},
author = {Merlin Carl},
journal= {arXiv preprint arXiv:2303.17513},
year = {2024}
}