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Process Reward Model Assessment on PROCESSBENCH

87.3GSM8K AccuracyQwen2.5-Math-PRM-72B
31.86846.25960.6575.041Mar 4, 2025May 12, 2025Jul 20, 2025Sep 28, 2025Dec 6, 2025Feb 13, 2026Apr 24, 2026

Evaluation results

MethodLinks
Qwen2.5-Math-PRM-72BSupervision Type=step-labeled PRM, Model Scale=72B2026.0487.380.674.371.178.3
FOVER-Qwen2.5-7B-PRMFine-tuned=true, Training Data=FOVER-40K2025.0586.6888484.585.8
FOVER-Llama3.1-8B-PRMFine-tuned=true, Training Data=FOVER-40K2025.0581.276.475.576.377.3
Qwen 2.5 7BFine-tuned=false2025.0575.578.276.273.675.9
Llama3.1-8B-ImplicitPRM-DPOSupervision Type=outcome-only, Backbone Model=Llama3.1-8B, Training Objective=DPO2026.0472.1462826.743.2
Skywork-PRM-7BModel=Skywork-PRM-7B2025.0370.853.622.92142.1
Llama 3.1 8BFine-tuned=false2025.057067.468.363.967.4
TCRM-Llama3.1-8BSupervision Type=outcome-only, Training Data=math data, Backbone Model=Llama3.1-8B2026.0468.947.734.828.344.9
Llama3.1-8B-ImplicitPRM-CESupervision Type=outcome-only, Backbone Model=Llama3.1-8B, Training Objective=CE2026.0467.646.227.529.742.8
Skywork-PRM-1.5BModel=Skywork-PRM-1.5B2025.03594819.319.236.4
Qwen2.5-1.5B-Instruct-Epic50kModel=Qwen2.5-1.5B-Instruct-Epic50k2025.0358.153.232.240.646
Qwen2-1.5B-Epic50kModel=Qwen2-1.5B-Epic50k2025.0355.636.120.23035.5
RLHFlow-PRM-Mistral-8BModel=RLHFlow-PRM-Mistral-8B2025.0350.433.413.815.828.4
Qwen2.5-1.5B-Instruct-PRM800kModel=Qwen2.5-1.5B-Instruct-PRM800k2025.0349.159.332.535.944.2
Qwen2-1.5B-MATH-ShepherdModel=Qwen2-1.5B-MATH-Shepherd2025.0348.934.19.813.726.6
Math-Shepherd-PRM-7BModel=Math-Shepherd-PRM-7B2025.0347.929.524.823.831.5
Qwen2.5-1.5B-Instruct-ShepherdModel=Qwen2.5-1.5B-Instruct-Shepherd2025.0344.129.812.117.625.9
RLHFlow-PRM-Deepseek-8BModel=RLHFlow-PRM-Deepseek-8B2025.0338.833.816.916.926.6
ABC-Llama3.1-8BSupervision Type=outcome-only, Backbone Model=Llama3.1-8B2026.0438.529.31615.124.7
Qwen2-1.5B-PRM800kModel=Qwen2-1.5B-PRM800k2025.033455.334.24141.1