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Nıyazı Çetın

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Sep 2026

Beyond accuracy: an educational benchmarking study of task fragility and reasoning stability of large language models on dermatology board-style questions.

BACKGROUND Large language models (LLMs) are increasingly used in medical education and assessment frameworks. However, their reliability under varying task demands remains unclear. Significant gaps exist in the literature regarding the reasoning stability of these models when faced with fluctuations in question structu...

A. Atılan, Nıyazı Çetın · 0 citations
Open access Aug 2026

Mapping Gaps and Improvement Targets in Large Language Model-Generated Melanoma Patient Education in a Non-English Setting

How well large language models (LLM) handle Turkish melanoma patient education varies widely from one model to the next, and findings suggest that LLM-generated Turkish melanoma materials may be useful as preliminary educational drafts.

Nıyazı Çetın, A. Atılan · 0 citations

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