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Bibliographic Details
Main Author: Carl, Merlin
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2304.06186
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author Carl, Merlin
author_facet Carl, Merlin
contents We describe two systems currently being developed that use large language models for the automatized correction of (i) exercises in translating back and forth between natural language and the languages of propositional logic and first-order predicate logic and (ii) exercises in writing simple arguments in natural language in non-mathematical scenarios.
format Preprint
id arxiv_https___arxiv_org_abs_2304_06186
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Using Large Language Models for (De-)Formalization and Natural Argumentation Exercises for Beginner's Students
Carl, Merlin
Computation and Language
Logic
We describe two systems currently being developed that use large language models for the automatized correction of (i) exercises in translating back and forth between natural language and the languages of propositional logic and first-order predicate logic and (ii) exercises in writing simple arguments in natural language in non-mathematical scenarios.
title Using Large Language Models for (De-)Formalization and Natural Argumentation Exercises for Beginner's Students
topic Computation and Language
Logic
url https://arxiv.org/abs/2304.06186