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Reward Modeling on PPE Correctness

71.2AccuracySAVE
56.01659.95863.967.842Feb 9, 2026Feb 27, 2026Mar 17, 2026Apr 4, 2026Apr 22, 2026May 10, 2026May 29, 2026

Evaluation results

MethodLinks
SAVEPolicy Model=Qwen3-4B-Instruct-25072026.0571.2
SAVE (w/o Curriculum Mechanism)Policy Model=Qwen3-4B-Instruct-25072026.0571.2
SAVEPolicy Model=Qwen2.5-3B-Instruct2026.0571.1
SAVE (w/o Policy Model Optimization)Policy Model=Qwen3-4B-Instruct-25072026.0571.1
Continual Offline Training RM2026.0571
SAVE (w/o Curriculum Mechanism)Policy Model=Qwen2.5-3B-Instruct2026.0571
SAVE (w/o Policy Model Optimization)Policy Model=Qwen2.5-3B-Instruct2026.0570.9
Skywork-Reward-V2-Llama-3.2-3B2026.0570.7
HL-BTPolicy Model=Qwen2.5-3B-Instruct2026.0570.5
HL-BTPolicy Model=Qwen3-4B-Instruct-25072026.0570.5
OPRM-RgFT-Qwen2.5-32BModel=OPRM, Backbone=Qwen2.5-32B, Region Flooding Tuning (RgFT)=true, Source (Reported vs. Reproduced)=Ours2026.0267.3
DeepSeek-BTRM-27BModel=DeepSeek-BTRM-27B, Source (Reported vs. Reproduced)=Reproduced2026.0266.7
Mean RewardPolicy Model=Qwen3-4B-Instruct-25072026.0566.6
OPRM-RgFT-Qwen2.5-72BModel=OPRM, Backbone=Qwen2.5-72B, Region Flooding Tuning (RgFT)=true, Source (Reported vs. Reproduced)=Ours2026.0266.4
OPRM-Qwen2.5-32BModel=OPRM, Backbone=Qwen2.5-32B, Region Flooding Tuning (RgFT)=false, Source (Reported vs. Reproduced)=Ours2026.0266.1
Mean RewardPolicy Model=Qwen2.5-3B-Instruct2026.0565.9
WILDREWARD-8BSize=8B2026.0265.6
OPRM-RgFT-Qwen2.5-14BModel=OPRM, Backbone=Qwen2.5-14B, Region Flooding Tuning (RgFT)=true, Source (Reported vs. Reproduced)=Ours2026.0265.6
DeepSeek-PairRM-27BModel=DeepSeek-PairRM-27B, Source (Reported vs. Reproduced)=Reproduced2026.0264.8
INF-ORM-Llama3.1-70BBackbone=Llama3.1-70B2026.0264.4
OPRM-Qwen2.5-14BModel=OPRM, Backbone=Qwen2.5-14B, Region Flooding Tuning (RgFT)=false, Source (Reported vs. Reproduced)=Ours2026.0264.3
OPRM-Qwen2.5-72BModel=OPRM, Backbone=Qwen2.5-72B, Region Flooding Tuning (RgFT)=false, Source (Reported vs. Reproduced)=Ours2026.0264.3
Llama-3-OffsetBias-RM-8BSize=8B2026.0264.1
WILDREWARD-4BSize=4B2026.0263.6
Llama-3.1-Nemotron-70BSize=70B2026.0263.2
Internlm2-20b-rewardSize=20b2026.0263
InternLM2-20B-RewardModel=InternLM2-20B-Reward, Source (Reported vs. Reproduced)=Reported2026.0263
Skywork-Reward-Llama-3.1-8B-v0.2Backbone=Llama-3.1-8B2026.0262.5
CLoud-Gemma-2-27BModel=CLoud-Gemma-2-27B, Source (Reported vs. Reproduced)=Reproduced2026.0262.4
OPRM-RgFT-Qwen2.5-7BModel=OPRM, Backbone=Qwen2.5-7B, Region Flooding Tuning (RgFT)=true, Source (Reported vs. Reproduced)=Ours2026.0262.4
Athene-RM-8BSize=8B2026.0262
Skywork-Reward-Gemma-2-27B-v0.2Backbone=Gemma-2-27B2026.0261.9
OPRM-Qwen2.5-7BModel=OPRM, Backbone=Qwen2.5-7B, Region Flooding Tuning (RgFT)=false, Source (Reported vs. Reproduced)=Ours2026.0261.3
ArmoRM-8B-v0.1Model=ArmoRM-8B-v0.1, Source (Reported vs. Reproduced)=Reported2026.0261.2
Nemotron-4-340B-RewardModel=Nemotron-4-340B-Reward, Source (Reported vs. Reproduced)=Reported2026.0260.8
ArmoRM-Llama3-8B-v0.1Backbone=Llama3-8B2026.0260.6
Gemini-1.5-ProModel=Gemini-1.5-Pro, Source (Reported vs. Reproduced)=Reported2026.0259.8
DeepSeek-GRM-27BModel=DeepSeek-GRM-27B, Source (Reported vs. Reproduced)=Reproduced2026.0259.8
DeepSeek-GRM-27B-RFTModel=DeepSeek-GRM-27B-RFT, Source (Reported vs. Reproduced)=Reproduced2026.0259.6
LLaMA-3.1-70b-InstructModel=LLaMA-3.1-70b-Instruct, Source (Reported vs. Reproduced)=Reported2026.0259.2
Claude-3.5-sonnetModel=Claude-3.5-sonnet, Source (Reported vs. Reproduced)=Reported2026.0258.8
LLM-as-a-JudgeModel=LLM-as-a-Judge, Source (Reported vs. Reproduced)=Reproduced2026.0258.8
DeepSeek-V2.5-0905Model=DeepSeek-V2.5-0905, Source (Reported vs. Reproduced)=Reported2026.0258.5
GPT-4oModel=GPT-4o, Source (Reported vs. Reproduced)=Reported2026.0257.6
Skywork-Reward-Gemma-2-27BModel=Skywork-Reward-Gemma-2-27B, Source (Reported vs. Reproduced)=Reported2026.0256.6