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Mathematical Reasoning Accuracy on OlympiadBench (test)

57.9AccuracyMiMo-VL-7B-SFT-2508
0.38815.31930.2545.181Feb 17, 2025May 5, 2025Jul 22, 2025Oct 8, 2025Dec 24, 2025Mar 12, 2026May 29, 2026

Evaluation results

MethodLinks
MiMo-VL-7B-SFT-25082025.1257.9—
MiMo-VL-Miloco-7B2025.1257.9—
RandOptModel=Qwen2.5-3B-Inst, K=502026.0539.2—
CoRPModel=OLMo3-7B-Inst2026.0539.2—
RandOptModel=OLMo3-7B-Inst, K=12026.0537.5—
RandOptModel=OLMo3-7B-Inst, K=502026.0535.4—
PPOModel=Qwen2.5-3B-Inst2026.0534.4—
CoRPModel=Qwen2.5-3B-Inst2026.0532.5—
RandOptModel=Llama3.1-8B-Inst, K=502026.0532.1—
RandOptModel=Qwen2.5-1.5B-Inst, K=502026.0530.4—
RandOptModel=Qwen2.5-3B-Inst, K=12026.0530.3—
GRPOModel=Qwen2.5-3B-Inst2026.0529—
BaseModel=OLMo3-7B-Inst2026.0528.7—
PPOModel=OLMo3-7B-Inst2026.0528—
GRPOModel=OLMo3-7B-Inst2026.0527.9—
PPOModel=Qwen2.5-1.5B-Inst2026.0526.3—
BaseModel=Qwen2.5-3B-Inst2026.0524.5—
GRPOModel=Llama3.1-8B-Inst2026.0523.7—
CoRPModel=Llama3.1-8B-Inst2026.0520.9—
CoRPModel=Qwen2.5-1.5B-Inst2026.0520.5—
RandOptModel=Qwen2.5-1.5B-Inst, K=12026.0519.9—
BaseModel=Llama3.1-8B-Inst2026.0519.2—
GRPOModel=Qwen2.5-1.5B-Inst2026.0518.8—
PPOModel=Qwen2.5-0.5B-Inst2026.0516.1—
PPOModel=Llama3.1-8B-Inst2026.0516.1—
RandOptModel=Qwen2.5-0.5B-Inst, K=502026.0515.8—
BaseModel=Qwen2.5-1.5B-Inst2026.0513.4—
RandOptModel=Llama3.1-8B-Inst, K=12026.0511.9—
CoRPModel=Qwen2.5-0.5B-Inst2026.059.6—
RandOptModel=Qwen2.5-0.5B-Inst, K=12026.058.6—
GRPOModel=Qwen2.5-0.5B-Inst2026.056.9—
CoDistill-GRPOAlgorithm=CoDistill-GRPO, Base Model=Llama3.2-1B-Instruct, alpha=1, T=02026.055.086—
GRPOAlgorithm=GRPO, Base Model=Llama3.2-1B-Instruct2026.055.038—
VINEPPO + LILOTraining run=VINEPPO with LILO2025.024.5—
Llama3.2-1B-InstructAlgorithm=Llama3.2-1B-Instruct2026.054.328—
BaseModel=Qwen2.5-0.5B-Inst2026.054.2—
VINEPPOTraining run=VINEPPO2025.024.1—
PPO + LILOTraining run=PPO with LILO2025.023.8—
PPOTraining run=PPO2025.023.5—
ORIGINAL SFTTraining run=SFT2025.022.6—
ADARFTModel=Qwen2.5-Math-1.5B, Evaluation Step=9002026.05—32.4
ADARFTModel=Qwen2.5-Math-7B, Evaluation Step=9002026.05—38.6
CHORD-ϕShot Configuration=128-shot, RL on Gold Dataset (DE)=false2026.05—42.47
DAPOModel=Qwen2.5-Math-1.5B, Evaluation Step=9002026.05—34.4
DIFFModel=Qwen2.5-Math-1.5B, Evaluation Step=9002026.05—34.7
DIFFModel=Qwen2.5-Math-7B, Evaluation Step=9002026.05—42.6
FEST-DPOShot Configuration=128-shot, RL on Gold Dataset (DE)=false2026.05—46.8
FEST-GRPOShot Configuration=128-shot, RL on Gold Dataset (DE)=false2026.05—47
GAINRLModel=Qwen2.5-Math-1.5B, Evaluation Step=9002026.05—34.9
GAINRLModel=Qwen2.5-Math-7B, Evaluation Step=9002026.05—41.7
GRPOModel=Qwen2.5-Math-1.5B, Evaluation Step=9002026.05—34.8
GRPOModel=Qwen2.5-Math-7B, Evaluation Step=9002026.05—42
HPTShot Configuration=128-shot, RL on Gold Dataset (DE)=false2026.05—43.14
HPT-GShot Configuration=128-shot, RL on Gold Dataset (DE)=true2026.05—34.34
LUFFYShot Configuration=128-shot, RL on Gold Dataset (DE)=false2026.05—43.49
MIFOShot Configuration=Full dataset, RL on Gold Dataset (DE)=false2026.05—43.3
ReLIFTShot Configuration=128-shot, RL on Gold Dataset (DE)=false2026.05—44.35
ReLIFT-GShot Configuration=128-shot, RL on Gold Dataset (DE)=true2026.05—42.28
RLShot Configuration=128-shot, RL on Gold Dataset (DE)=false2026.05—43.25
RL-GShot Configuration=128-shot, RL on Gold Dataset (DE)=true2026.05—44.49
SAERLDModel=Qwen2.5-Math-1.5B, Evaluation Step=9002026.05—34.6
SAERLGModel=Qwen2.5-Math-1.5B, Evaluation Step=9002026.05—35.7
SAERLGModel=Qwen2.5-Math-7B, Evaluation Step=9002026.05—43
SRFTShot Configuration=Full dataset, RL on Gold Dataset (DE)=false2026.05—38.58