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The impending impacts of large language models on medical education

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참고문헌 (11)

  1. "Prompt examples from OpenAI API documentation"[URL]
  2. "Emergent abilities of large language models" (2022)[URL]
  3. "Large language models encode clinical knowledge" (2022)[URL]
  4. Hutson M, "Could AI help you to write your next paper?", Nature, 611(7934), pp.192~193 (2022)
  5. Arcas BA, "Do large language models understand us?", Daedalus, 151(2), pp.183~197 (2022)
  6. "Chain of thought prompting elicits reasoning in large language models" (2022)[URL]
  7. "Can large language models reason about medical questions?" (2022)[URL]
  8. Wu T, "AI chains : transparent and controllable human-ai interaction by chaining large language model prompts", Paper presented at: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (2022)
  9. "Do language models have beliefs? methods for detecting, updating, and visualizing model beliefs" (2021)[URL]
  10. "Pre-trained language models in biomedical domain: a systematic survey" (2021)[URL]
  11. Sternszus R, "Describing medical student curiosity across a four year curriculum : an exploratory study", Med Teach, 39(4), pp.377~382 (2017)

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