From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning

Yuzhen Huang, Weihao Zeng, Xingshan Zeng +2

Trustworthy verifiers are essential for the success of reinforcement learning with verifiable reward (RLVR), which is the core methodology behind various large reasoning models suc…