Evaluation of large language models in pediatric dentistry: a Bloom’s taxonomy-based analysis
Aim: This study aimed to evaluate the performance of three large language models (LLMs)—ChatGPT-4.0, Claude 3.5 Sonnet, and DeepSeek R1—in answering multiple-choice questions (MCQs) related to pediatric dentistry. Accuracy and justification quality were analyzed using Bloom’s taxonomy. Mat...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Pensoft Publishers
2025-08-01
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| Series: | Folia Medica |
| Online Access: | https://foliamedica.bg/article/154338/download/pdf/ |
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