From accuracy to robustness: a comparative study of five advanced large language models on the Chinese dental licensing examination

Using the CDLE as a benchmark, new-generation LLMs achieved markedly higher accuracy. Furthermore, all models exhibited strong robustness against adversarial perturbations. These findings indicate that advanced LLMs hold promise as assistive tools for dental education and practice.