Large language models on solving integral calculus problems.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorSilva, Jonatas Araujo-
Autor(es): dc.creatorMedeiros, Talles Henrique de-
Autor(es): dc.creatorGoes, Fabrıcio-
Data de aceite: dc.date.accessioned2025-08-21T15:07:38Z-
Data de disponibilização: dc.date.available2025-08-21T15:07:38Z-
Data de envio: dc.date.issued2024-07-24-
Data de envio: dc.date.issued2024-07-24-
Data de envio: dc.date.issued2023-
Fonte completa do material: dc.identifierhttps://www.repositorio.ufop.br/handle/123456789/18181-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1003018-
Descrição: dc.descriptionThis article evaluates the ability of language models (LLMs), such as GPT-4 and GPT-3.5 Turbo, to support learning, especially in solving mathematical problems. A comparative experiment was carried out, including models with and without fine-tuning, where GPT-4 obtained the best performance, solving 94% of the questions. The results indicate challenges in algebraic expressions and fractions, highlighting the importance of personalized training for specific tasks.-
Formato: dc.formatapplication/pdf-
Direitos: dc.rightsaberto-
Palavras-chave: dc.subjectCalculus-
Palavras-chave: dc.subjectIntegrations-
Palavras-chave: dc.subjectReasoning-
Palavras-chave: dc.subjectCorrectness-
Título: dc.titleLarge language models on solving integral calculus problems.-
Aparece nas coleções:Repositório Institucional - UFOP

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