AI RESEARCH
MedPRMBench: A Fine-grained Benchmark for Process Reward Models in Medical Reasoning
arXiv CS.CL
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ArXi:2604.17282v1 Announce Type: new Process-Level Reward Models (PRMs) are essential for guiding complex reasoning in large language models, yet existing PRM benchmarks cover only general domains such as mathematics, failing to address medical reasoning -- which is uniquely characterized by safety criticality, knowledge intensity, and diverse error patterns. Without a reliable medical PRM evaluation framework, we cannot quantify models' error detection capabilities in clinical reasoning, leaving their safety in real-world healthcare applications unverified.