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Evaluation of large language models in pediatric dentistry: a Bloom's taxonomy-based analysis
Atanu Mukhopadhyay1, Santanu Mukhopadhyay2, Raju Biswas3
1Amazon.com, New York, United States of America.
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.
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