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College of Information Science and Engineering
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Bridging multimodal cues with psychometric structure, DynaBridge achieves unprecedented accuracy in predicting mental health risks.
MIRTH transforms VLA models by enabling them to effectively leverage historical dynamics and optimize action trajectories, leading to unprecedented error recovery in robotic control.
LLMs can generate clinical summaries that not only improve the accuracy of multimodal depression detection but also provide transparent rationales for those predictions.
