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One LLM is not Enough: Harnessing the Power of Ensemble Learning for Medical Question Answering.

Han YangMingchen LiHuixue ZhouYongkang XiaoQian FangRui Zhang
Published in: medRxiv : the preprint server for health sciences (2023)
The LLM-Synergy framework with two ensemble methods, represents a significant advancement in leveraging LLMs for medical QA tasks and provides an innovative way of efficiently utilizing the development with LLM Technologies, customing for both existing and potentially future challenge tasks in biomedical and health informatics research.
Keyphrases
  • healthcare
  • working memory
  • big data
  • public health
  • convolutional neural network
  • current status
  • health information
  • electronic health record
  • machine learning
  • deep learning
  • health promotion
  • artificial intelligence