ViMedAQA: A Vietnamese Medical Abstractive Question-Answering Dataset and Findings of Large Language Model
Minh-Nam Tran, Phu-Vinh Nguyen, Long Nguyen, Điền Đinh · 2024
Question answering involves creating answers to questions.With the growth of large language models, the ability of question-answering systems has dramatically improved.However, there is a lack of Vietnamese abstractive question-answering datasets, especially in the medical domain.Therefore, this research aims to mitigate this gap by introducing ViMedAQA 1 .This Vietnamese Medical Abstractive Question-Answering dataset covers four topics in the Vietnamese medical domain, including body parts, disease, drugs, and medicine.Additionally, the empirical results on the proposed dataset examine the capability of the large language models in the Vietnamese medical domain, including reasoning, memorizing, and awareness of essential information.