Papers by Alina I. Palimaru

    1 papers
    Development and Benchmarking of a Blended Human-AI Qualitative Research Assistant (2026.acl-industry)

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    Challenge: Qualitative research emphasizes constructing meaning through iterative engagement with textual data.
    Approach: They present and benchmark a qualitative research assistant system that allows researchers to identify themes and annotate datasets.
    Outcome: The proposed system achieves an inter-rater reliability between Muse and humans of Cohen’s = 0.7 for well-specified codes.

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