 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.
<meaning-changed>  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.
 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.