# Reasoning Reward Modeling

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.

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.

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.

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