ArticleJournal of dental sciences2026
Performance of ChatGPT-4, Gemini, and DeepSeek-V3 on English-translated questions from the Taiwan national dental Technician Licensing examination over a three-week period.
Article in Journal of dental sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background /purpose: Large language models (LLMs) have shown potential in answering professional examination questions. This study evaluated the performance of ChatGPT-4, Gemini, and DeepSeek-V3 in answering English-translated questions from the 2023 Taiwan National Dental Technician Licensing Examination (TNDTLE) over a three-week period. Materials and methods: A total of 194 English-translated, text-based multiple-choice questions were selected from the 2023 TNDTLE. ChatGPT-4, Gemini, and DeepSeek-V3 were used to answer the same set of English-translated questions at four time points: baseline and one-, two-, and three-week follow-ups. Accuracy rates (ARs) were calculated and compared to evaluate changes over time and differences among the three LLMs, between basic and clinical subjects, and between English-translated and original Chinese-language questions. Results: The baseline ARs were 69.1% for ChatGPT-4, 75.8% for Gemini, and 69.6% for DeepSeek- V3. Among the three LLMs, only ChatGPT-4 demonstrated a statistically significant improvement at the three-week follow-up ( Conclusion: ChatGPT-4, Gemini, and DeepSeek-V3 demonstrate moderate capability in answering dental technician examination questions but generally show no significant improvement over a three-week period. Translating Chinese-language questions into English may improve the performance of ChatGPT-4 and Gemini.
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