VietMed-MCQ: New Dataset and Benchmark for Vietnamese Traditional Medicine Evaluation with LLMs
A preprint introducing VietMed-MCQ, a multiple-choice question benchmark for evaluating large language models on Vietnamese Traditional Medicine, has been withdrawn from arXiv by its authors. The paper described a 3,190-question dataset built using a Retrieval-Augmented Generation pipeline with dual-model consistency filtering, validated by one medical expert and four students. The withdrawal was issued because the framework, filtering procedures, and experimental analysis are still undergoing substantial revision and should not be treated as final.
The preprint arXiv:2601.03792, titled 'VietMed-MCQ,' proposed a consistency-filtered data synthesis framework aimed at benchmarking LLM performance in Vietnamese Traditional Medicine (VTM), a domain noted for scarce structured evaluation resources. The dataset comprised 3,190 multiple-choice questions across three difficulty levels, generated via a RAG pipeline and validated through a dual-model answer verification mechanism. Human validation by one medical expert and four students yielded a 94.2 percent approval rate with substantial inter-rater agreement (Fleiss' kappa = 0.82). Preliminary benchmarking of seven open-source models suggested that general-purpose models with strong Chinese language priors outperformed Vietnamese-centric models, pointing to cross-lingual conceptual transfer as a relevant factor. All models nonetheless struggled with complex diagnostic reasoning tasks. The authors withdrew the paper on June 10, 2026, citing ongoing revisions to multiple components including the synthesis framework, consistency-filtering procedure, evaluation protocol, and experimental analysis, and cautioned that the current version is not a complete or final representation of the work.
What's missing
Because the paper has been withdrawn and no PDF is available, it is not possible to assess the full methodology, dataset composition, or experimental results in detail. Key open questions include the specific identities and qualifications of the validating medical expert, the exact nature of the known limitations of the substring-based evidence checking, and how the revised framework will differ from the withdrawn version. The degree to which the 3,190 questions cover the breadth of Vietnamese Traditional Medicine sub-domains is also unverifiable from the abstract alone.
What different sources said
- arXiv cs.CLCenter
VietMed-MCQ: A Consistency-Filtered Data Synthesis Framework for Vietnamese Traditional Medicine Evaluation
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