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The study evaluated 16 large language models as well as a control group of 60 licensed practitioners of traditional Chinese medicine.
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9/17/2026
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UnverifiedThe researchers conducted evaluations on 17 different large language models, covering mainstream commercial and open-source models.73% similarUnverifiedThe study tested six mainstream large language models.70% similarUnverifiedThe study conducted a dual evaluation of 8 large language models, having them serve both as question setters generating misleading options and as answer solvers resolving the problems.68% similarUnverifiedThe study evaluated 16 different languages and 3 different model sizes on the Whisper model family66% similarUnverifiedResearchers have found that the hallucination rate of large language models when answering clinical questions can reach 5% to 15%.64% similar
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