List your company

General Reasoning on MMLU-Pro (Accuracy, Avg.)

58.8AccuracyHIPPO
-2.24813.60129.4545.299Oct 5, 2025Nov 18, 2025Jan 1, 2026Feb 15, 2026Mar 31, 2026May 14, 2026Jun 28, 2026

Evaluation results

MethodLinks
HIPPOCategory=Ours2026.0658.855.5
PREF-GRPOCategory=Reward-Shaping2026.0656.853.4
SP3FCategory=Reward-Shaping2026.0656.152.5
PRM RLCategory=Reward-Shaping2026.065652.8
Qwen2.5-7B + RLTraining=Standard Training2026.0655.454
Qwen2.5-7B + SFTTraining=Standard Training2026.065350.8
QuestABackbone=Qwen2.5-7B-Base2025.1051—
MENTORBackbone=Qwen2.5-7B-Base2025.1050.2—
LUFFYBackbone=Qwen2.5-7B-Base2025.1049.7—
On-policy RLBackbone=Qwen2.5-7B-Base2025.1048—
BaseBackbone=Qwen2.5-7B-Base2025.1042.9—
MENTORBackbone=LLaMa3.1-8B-Base2025.1039.1—
MENTORBackbone=Qwen2.5-3B-Base2025.1036.8—
On-policy RLBackbone=LLaMa3.1-8B-Base2025.1035.7—
LUFFYBackbone=LLaMa3.1-8B-Base2025.1034.9—
QuestABackbone=LLaMa3.1-8B-Base2025.1033.9—
Qwen2.5-7BTraining=Standard Training2026.063325.1
QuestABackbone=Qwen2.5-3B-Base2025.1030.9—
LUFFYBackbone=Qwen2.5-3B-Base2025.1030.8—
On-policy RLBackbone=Qwen2.5-3B-Base2025.1030.6—
BaseBackbone=Qwen2.5-3B-Base2025.1019.4—
BaseBackbone=LLaMa3.1-8B-Base2025.100.1—