June 10, 2024, 4:42 a.m. | Ping Yu, Kaitao Song, Fengchen He, Ming Chen, Jianfeng Lu

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.04941v1 Announce Type: new
Abstract: The recently unprecedented advancements in Large Language Models (LLMs) have propelled the medical community by establishing advanced medical-domain models. However, due to the limited collection of medical datasets, there are only a few comprehensive benchmarks available to gauge progress in this area. In this paper, we introduce a new medical question-answering (QA) dataset that contains massive manual instruction for solving Traditional Chinese Medicine examination tasks, called TCMD. Specifically, our TCMD collects massive questions across diverse …

abstract advanced arxiv benchmarks chinese collection community cs.cl dataset datasets domain however language language models large language large language models llms medical medicine progress type

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