Mancevska, Sonja and Karamazova Gelova, Elena (2025) Antiderivatives Solved with LLMs? Proceedings / 15th International conference on applied internet and information technologies AIIT 2025. pp. 405-412. ISSN 978-608-5003-06-8
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AIIT2025 Proceedings S. Mancevska.pdf - Accepted Version Download (1MB) |
Official URL: https://aiit-conference.org/
Abstract
This study is a cross-section overview of the effectiveness of general-purpose large language models, specialized AI-powered math tools and CAS-based integral calculator for solving antiderivatives. Tests were done on the same non-synthetic set of antiderivatives. Evaluation is focused on the correctness of generated answers and the clarity of the step-by-step solution.
| Item Type: | Article |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Natural sciences > Mathematics Scientific Fields (Frascati) > Engineering and Technology > Other engineering and technologies |
| Divisions: | Faculty of Information and Communication Technologies |
| Depositing User: | Prof. d-r. Sonja Manchevska |
| Date Deposited: | 10 Dec 2025 14:43 |
| Last Modified: | 10 Dec 2025 14:43 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/11272 |
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