Papers by Ji Hyun An

    1 papers
    CURE: Context- and Uncertainty-Aware Mental Disorder Detection (2024.emnlp-main)

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    Challenge: Existing methods to detect mental disorders focus on the presence of symptoms, but the context of symptoms is often ignored, leading to errors in symptom identification.
    Approach: They propose to use large language models to extract contextual information while introducing an uncertainty-aware decision fusion network that combines predictions of multiple models based on quantified uncertainty values.
    Outcome: The proposed model detects mental disorders even in situations where symptom information is incomplete.

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