Explainable Prediction from Mobile Sensing Data through LLM-guided Concept Integration
A Concept-Integrated Transformer with LLM-guided concept supervision for explainable prediction from mobile sensing data that shows the clearest difference between high and low negative affect groups in AFFECT and ties for the highest F1 score on AFFECT.
Yu-Ning Wang, Iman Azimi, Amir M. Rahmani et al.
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