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This paper introduces EduBehaviors, an interpretable and scalable framework using large language models for annotating educational dialogues, evaluated on the TalkMoves dataset, and releases a toolkit for researchers.
DeMMO is an interpretable framework for longitudinal, multi-disease, and multi-outcome learning of digital mobility outcomes using multi-task learning, achieving improved prediction performance over baselines on the Mobilise-D dataset.