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Reward Modeling on REWARDHACKBENCH (Tgt, Non-Tgt, Surface, Reasoning, Sycophantic, Off-Topic, Style)

92.42Target AdherenceHARVE
44.63257.038569.44581.8515Jun 2, 2026

Evaluation results

MethodLinks
HARVEBackbone=Skywork-V2-Llama-3.2 (3B), alpha=1.252026.0692.4286.5286.3693.5796.6782.7483.42
HARVEBackbone=RM-Mistral (7B), alpha=2.502026.0690.2576.5288.3892.1487.6265.4973.58
HARVEBackbone=InternLM2-reward (20B), alpha=1.602026.0688.4180.992.4290.7189.0563.7283.42
HARVEBackbone=FsfairX-LLaMA3-RM (8B), alpha=1.752026.0686.9676.5880.8194.2986.1962.3976.68
HARVEBackbone=Skywork-V2-Qwen3 (0.6B), alpha=1.252026.0685.577.5180.8182.1492.3869.0375.65
Finetune (5:1)Backbone=RM-Mistral (7B), ratio=5:12026.0684.4878.5594.9582.1493.3357.5276.17
HARVEBackbone=Skywork-Reward-Llama-3.1 (8B), alpha=1.102026.0684.4289.5880.393.5796.1991.1579.79
Finetune (3:1)Backbone=RM-Mistral (7B), ratio=3:12026.0684.1271.394.4481.4393.8145.1364.77
HARVEBackbone=GRM-Llama-3.2 (3B), alpha=1.252026.0682.984.3872.7390.7189.5290.2777.2
HARVEBackbone=InternLM2-reward (1.8B), alpha=1.102026.0678.9375.487.8878.5783.8155.3179.79
Finetune (5:1)Backbone=Skywork-V2-Llama-3.2 (3B), ratio=5:12026.0676.986.0980.389.2984.2981.4283.94
Finetune (3:1)Backbone=Skywork-V2-Llama-3.2 (3B), ratio=3:12026.0676.1786.2379.2989.2984.2981.4284.46
Finetune (5:1)Backbone=InternLM2-reward (20B), ratio=5:12026.0675.3683.0784.8583.5783.8166.8188.08
BaselineBackbone=Skywork-V2-Llama-3.2 (3B)2026.0675.0985.5178.2889.2981.981.4283.94
Finetune (5:1)Backbone=Skywork-Reward-Llama-3.1 (8B), ratio=5:12026.0673.5592.1977.7885.7192.3891.5985.49
Finetune (3:1)Backbone=InternLM2-reward (20B), ratio=3:12026.0673.5583.0784.3480.7183.8166.8188.08
BaselineBackbone=InternLM2-reward (20B)2026.0673.1982.7883.8480.7182.8666.8188.08
Finetune (3:1)Backbone=Skywork-Reward-Llama-3.1 (8B), ratio=3:12026.0672.4691.7576.7785.7191.4391.5984.46
Finetune (5:1)Backbone=FsfairX-LLaMA3-RM (8B), ratio=5:12026.0671.580.1389.982.1485.7158.4178.76
BaselineBackbone=RM-Mistral (7B)2026.0667.8772.3283.8479.2978.5747.3571.5
Finetune (3:1)Backbone=FsfairX-LLaMA3-RM (8B), ratio=3:12026.0667.6377.8985.8680.7183.8155.7576.17
BaselineBackbone=Skywork-Reward-Llama-3.1 (8B)2026.0665.9491.1772.2284.2985.7192.0484.46
Finetune (5:1)Backbone=InternLM2-reward (1.8B), ratio=5:12026.0662.575.2590.9168.5767.1453.9879.27
Finetune (3:1)Backbone=InternLM2-reward (1.8B), ratio=3:12026.0661.0774.8290.47065.2452.6578.76
BaselineBackbone=InternLM2-reward (1.8B)2026.0658.9374.2489.966.4363.3352.2179.27
Finetune (3:1)Backbone=Skywork-V2-Qwen3 (0.6B), ratio=3:12026.0658.3674.9360.6175.7185.7156.6475.65
Finetune (5:1)Backbone=Skywork-V2-Qwen3 (0.6B), ratio=5:12026.0658.3675.561.627586.1957.5275.65
BaselineBackbone=FsfairX-LLaMA3-RM (8B)2026.0657.4975.6681.3178.5774.2953.5475.65
Finetune (5:1)Backbone=GRM-Llama-3.2 (3B), ratio=5:12026.0654.2886.2561.6283.5772.8688.9480.31
BaselineBackbone=Skywork-V2-Qwen3 (0.6B)2026.0653.1673.0756.5773.5782.8652.2175.65
Finetune (3:1)Backbone=GRM-Llama-3.2 (3B), ratio=3:12026.0650.5685.9659.098568.5788.9480.31
BaselineBackbone=GRM-Llama-3.2 (3B)2026.0646.4784.8155.0583.5764.7688.9479.79