March 26, 2024, 4:51 a.m. | Heyi Zhang, Xin Wang, Zhaopeng Meng, Yongzhe Jia, Dawei Xu

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.16056v1 Announce Type: new
Abstract: In the field of Artificial Intelligence, Large Language Models (LLMs) have demonstrated significant advances in user intent understanding and response in a number of specialized domains, including medicine, law, and finance. However, in the unique domain of traditional Chinese medicine (TCM), the performance enhancement of LLMs is challenged by the essential differences between its theories and modern medicine, as well as the lack of specialized corpus resources. In this paper, we aim to construct and …

abstract advances artificial artificial intelligence arxiv chinese cs.ai cs.cl domain domains finance however intelligence language language model language models large language large language model large language models law llms medicine performance type understanding

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