LLM-Driven AutoML for Cross-Lingual Handwritten OCR: Closed-Loop Neural Architecture Search with GPT-5, GPT-4o, and Claude Sonnet 4
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Computer Science > Computer Vision and Pattern Recognition
arXiv:2607.15509 (cs)
[Submitted on 16 Jul 2026]
Title:LLM-Driven AutoML for Cross-Lingual Handwritten OCR: Closed-Loop Neural Architecture Search with GPT-5, GPT-4o, and Claude Sonnet 4
View a PDF of the paper titled LLM-Driven AutoML for Cross-Lingual Handwritten OCR: Closed-Loop Neural Architecture Search with GPT-5, GPT-4o, and Claude Sonnet 4, by Mobina Kashaniyan and 2 other authors
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Abstract:We present a fully automated closed-loop AutoML framework that uses GPT-5, GPT-4o, and Claude Sonnet 4 as autonomous neural architecture designers for cross-lingual handwritten optical character recognition. Each large language model independently generates, trains, evaluates, and iteratively refines neural network architectures using performance feedback from previous trials. The framework is evaluated on Arabic, Persian, and English handwriting datasets through 270 independent experiments. It consistently discovers accurate and computationally efficient models without manual architecture design, domain-specific preprocessing, or hyperparameter tuning. The generated models achieve mean test accuracies above 93 percent, a best accuracy of 98.1 percent, and inference latency between 41 and 44 milliseconds. The results demonstrate that large language models can function as effective AutoML agents for neural architecture search, enabling scalable, script-adaptive, and reproducible handwriting recognition across languages.
| Comments: | 6 pages, 10 figures, and 2 tables. Published in the 2025 15th International Conference on Computer and Knowledge Engineering (ICCKE) |
| Subjects: | Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG) |
| MSC classes: | I.2.6, I.5.4 |
| ACM classes: | I.2.6; I.5.4 |
| Cite as: | arXiv:2607.15509 [cs.CV] |
| (or arXiv:2607.15509v1 [cs.CV] for this version) | |
| https://doi.org/10.48550/arXiv.2607.15509
arXiv-issued DOI via DataCite (pending registration)
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| Journal reference: | 2025 15th International Conference on Computer and Knowledge Engineering (ICCKE), IEEE, 2025, Article No. 11273810 |
| Related DOI: | https://doi.org/10.1109/ICCKE68588.2025.11273810
DOI(s) linking to related resources
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Submission history
From: Mobina Kashaniyan [view email][v1] Thu, 16 Jul 2026 23:43:23 UTC (1,755 KB)
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View a PDF of the paper titled LLM-Driven AutoML for Cross-Lingual Handwritten OCR: Closed-Loop Neural Architecture Search with GPT-5, GPT-4o, and Claude Sonnet 4, by Mobina Kashaniyan and 2 other authors
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