LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Sep 1, 2024

Abstract

OBJECTIVE: To investigate the demonstration in large language models (LLMs) for biomedical relation extraction. This study introduces a framework comprising three types of adaptive tuning methods to assess their impacts and effectiveness.

Authors

  • Huixue Zhou
    Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
  • Mingchen Li
    Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN, USA.
  • Yongkang Xiao
    Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
  • Han Yang
    Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Rui Zhang
    Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.

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