before_sent:  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.
before_sent_with_intent: <clarity>  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.
after_sent:  Based on this shortcut measurement, we propose a shortcut mitigation framework LTGR , to suppress the model from making overconfident predictions for samples with large shortcut degree.