Improving the Diproche CNL through Autoformalization via Large Language Models

Fuente: arXiv
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Main Author: Carl, Merlin
Format: Preprint
Published: 2023
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author Carl, Merlin
author_facet Carl, Merlin
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2303_17513
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Improving the Diproche CNL through Autoformalization via Large Language Models
Carl, Merlin
Computation and Language
Logic in Computer Science
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.
title Improving the Diproche CNL through Autoformalization via Large Language Models
topic Computation and Language
Logic in Computer Science
url https://arxiv.org/abs/2303.17513