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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
  • public health
  • big data
  • convolutional neural network
  • mental health
  • neural network
  • current status
  • machine learning
  • risk assessment
  • climate change
  • human health