PsOCR: Benchmarking large multimodal models for optical character recognition in low-resource pashto language
This paper evaluates the performance of Large Multimodal Models (LMMs) on Optical Character Recognition (OCR) for the low-resource Pashto language. Pashto OCR is challenging due to its cursive Perso-Arabic script and the scarcity of large-scale annotated datasets. To address these challenges, we int...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2026-03-01
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| Serie: | Ain Shams Engineering Journal |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S2090447926000511 |
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