AgentV-RL: Scaling Reward Modeling with Agentic Verifier

Jiazheng Zhang, Ziche Fu, Zhiheng Xi +13

Verifiers have been demonstrated to enhance LLM reasoning via test-time scaling (TTS). Yet, they face significant challenges in complex domains. Error propagation from incorrect in…