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    From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models by Englhardt, Zachary, Ma, Chengqian, Morris, Margaret E., Chang, Chun-Cheng, Xu, Xuhai "Orson", Qin, Lianhui, McDuff, Daniel, Liu, Xin, Patel, Shwetak, Iyer, Vikram

    Published 2024
    “…We then prompt the LLM to perform binary classification, achieving accuracies of 61.1%, exceeding the state of the art. We find models like GPT-4 correctly reference numerical data 75% of the time. …”
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