RM-R1 is a training framework for reasoning reward models (ReasRM), which evaluates candidate answers by generating scoring criteria or reasoning trajectories, providing interpretable evaluations.

Natural Language ProcessingTransformersEnglish

RM-R1 is a training framework for reasoning reward models (ReasRM), which evaluates candidate answers by generating scoring criteria or reasoning traces, providing explainable judgments.

Natural Language ProcessingTransformersEnglish

RM-R1 is a training framework for inference reward models. It evaluates two candidate answers by generating structured scoring criteria or inference trajectories and provides interpretable reasons.

Natural Language ProcessingTransformersEnglish

RM-R1 is a training framework for reasoning reward models (ReasRM), which evaluates candidate answers by generating scoring criteria or reasoning traces, significantly improving accuracy and interpretability compared to traditional reward models.

Natural Language ProcessingTransformersEnglish

RM-R1 is a training framework for reasoning reward models (ReasRM), which evaluates candidate answers by generating scoring criteria or reasoning traces, providing explainable assessments.

Natural Language ProcessingTransformersEnglish

RM-R1 is a framework for reward modeling through reasoning trajectory generation, offering significant improvements in accuracy and interpretability compared to traditional methods

Natural Language ProcessingTransformersEnglish