Papers by Guanghao Wei

    1 papers
    README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP (2024.findings-emnlp)

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    Challenge: a new task is to generate lay definitions of medical terms in EHRs that are difficult to understand for patients.
    Approach: They propose a task of automatically generating lay definitions to simplify medical terms into patient-friendly lay language.
    Outcome: The proposed model can match or surpass state-of-the-art closed-source large language models like ChatGPT with high-quality data.

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