RareBench: Can LLMs Serve as Rare Diseases Specialists?

Author:

Chen Xuanzhong1,Mao Xiaohao1,Guo Qihan1,Wang Lun2,Zhang Shuyang2,Chen Ting1

Affiliation:

1. Tsinghua University, Beijing, China

2. Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China

Funder

National Key Research and Development Program of China

Guoqiang Institute, Tsinghua University

Beijing National Research Center For Information Science And Technology

Publisher

ACM

Reference62 articles.

1. Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023).

2. Ségolène Aymé. 2003. Orphanet, an information site on rare diseases. Soins; la revue de référence infirmière 672 (2003), 46--47.

3. Yan Cai Linlin Wang Ye Wang Gerard de Melo Ya Zhang Yanfeng Wang and Liang He. 2023. MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models. arXiv:2312.12806 [cs.CL]

4. Junying Chen Xidong Wang Anningzhe Gao Feng Jiang Shunian Chen Hongbo Zhang Dingjie Song Wenya Xie Chuyi Kong Jianquan Li Xiang Wan Haizhou Li and Benyou Wang. 2023. HuatuoGPT-II One-stage Training for Medical Adaption of LLMs. arXiv:2311.09774 [cs.CL]

5. Thomas M Cover. 1999. Elements of information theory. John Wiley & Sons.

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