Before revision:  Based on this shortcut measurement, we propose a shortcut mitigation framework  , to suppress the model from making overconfident predictions for samples with large shortcut degree.
After revision:  Based on this shortcut measurement, we propose a shortcut mitigation framework LGTR , to suppress the model from making overconfident predictions for samples with large shortcut degree.