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Mathematical Reasoning on MATH 500 (pass@1, Avg)

96.6Pass@1 RateQwen3-4B-LambdaGRPO
30.87247.9366582.064Oct 1, 2025Nov 12, 2025Dec 25, 2025Feb 6, 2026Mar 21, 2026May 3, 2026Jun 15, 2026

Evaluation results

MethodLinks
Qwen3-4B-LambdaGRPOModel Architecture=Qwen3, Model Size=4B, Training Algorithm=LambdaGRPO2026.0596.676.49—
Qwen3-4B-GRPOModel Architecture=Qwen3, Model Size=4B, Training Algorithm=GRPO2026.0596.3575.4—
Qwen3-4BModel Architecture=Qwen3, Model Size=4B2026.0595.673.18—
REAPModel=GLM-4.5-Air, Compression=25%, Technique=Pruning2025.10920.879—
BaselineModel=GLM-4.5-Air, Compression=Baseline2025.1091.80.882—
Phi-4-mini-LambdaGRPOModel Architecture=Phi-4, Model Size=mini, Training Algorithm=LambdaGRPO2026.0591.0556.38—
HC-SMoEModel=GLM-4.5-Air, Compression=25%, Technique=Merging2025.1090.80.875—
FrequencyModel=GLM-4.5-Air, Compression=25%, Technique=Pruning2025.1090.80.87—
EANModel=GLM-4.5-Air, Compression=25%, Technique=Pruning2025.1090.80.874—
Qwen3-1.7B-temp1.5Model Architecture=Qwen3, Model Size=1.7B, Training Algorithm=LambdaPO, Temperature (tau)=1.52026.0590.253.03—
REAPModel=GLM-4.5-Air, Compression=50%, Technique=Pruning2025.10900.857—
Qwen3-1.7B-temp2Model Architecture=Qwen3, Model Size=1.7B, Training Algorithm=LambdaPO, Temperature (tau)=2.02026.0589.852.04—
Phi-4-mini-GRPOModel Architecture=Phi-4, Model Size=mini, Training Algorithm=GRPO2026.0589.855.35—
Qwen3-1.7B-temp0.1Model Architecture=Qwen3, Model Size=1.7B, Training Algorithm=LambdaPO, Temperature (tau)=0.12026.0589.651.38—
Qwen3-1.7B-temp5Model Architecture=Qwen3, Model Size=1.7B, Training Algorithm=LambdaPO, Temperature (tau)=5.02026.0589.651.74—
Qwen3-1.7B-temp0.5Model Architecture=Qwen3, Model Size=1.7B, Training Algorithm=LambdaPO, Temperature (tau)=0.52026.0589.451.87—
Qwen3-1.7B-base-grpoModel Architecture=Qwen3, Model Size=1.7B, Training Algorithm=GRPO2026.0589.351.42—
Phi-4-miniModel Architecture=Phi-4, Model Size=mini2026.0589.254.08—
Qwen3-1.7BModel Architecture=Qwen3, Model Size=1.7B2026.0589.0550.86—
Qwen3-1.7B-temp1Model Architecture=Qwen3, Model Size=1.7B, Training Algorithm=LambdaPO, Temperature (tau)=1.02026.0589.0552.09—
OPDTeacher-Student Setting=DeepSeek-R1 -> DeepSeek-R1-Distill-Qwen-7B2026.0689——
LoRA-αModel=7B2026.0688.6——
REAPModel=Qwen3-30B-A3B, Compression=25%, Technique=Pruning2025.1088.10.888—
M-SMoEModel=GLM-4.5-Air, Compression=25%, Technique=Merging2025.10880.864—
ALMTeacher-Student Setting=DeepSeek-R1 -> DeepSeek-R1-Distill-Qwen-7B2026.0688——
EANModel=Qwen3-30B-A3B, Compression=25%, Technique=Pruning2025.1087.90.892—
CDMTeacher-Student Setting=DeepSeek-R1 -> DeepSeek-R1-Distill-Qwen-7B2026.0687.8——
LoRA (10× LR)Model=7B2026.0687.6——
SFTTeacher-Student Setting=DeepSeek-R1 -> DeepSeek-R1-Distill-Qwen-7B2026.0687.4——
BaselineModel=Qwen3-30B-A3B, Compression=Baseline2025.1087.20.887—
M-SMoEModel=Qwen3-30B-A3B, Compression=25%, Technique=Merging2025.1087.20.886—
LoRAModel=7B2026.0687.2——
Base modelModel=7B2026.0686.6——
FrequencyModel=Qwen3-30B-A3B, Compression=25%, Technique=Pruning2025.1086.50.888—
FrequencyModel=Qwen3-30B-A3B, Compression=50%, Technique=Pruning2025.10860.865—
EANModel=Qwen3-30B-A3B, Compression=50%, Technique=Pruning2025.1085.50.864—
+CurES-GRPOBase Model=Qwen2.5-Math-7B, Training Method=CurES-GRPO2025.1084.852.41—
M-SMoEModel=Qwen3-30B-A3B, Compression=50%, Technique=Merging2025.1083.80.831—
REAPModel=Qwen3-30B-A3B, Compression=50%, Technique=Pruning2025.1083.80.857—
EANModel=GLM-4.5-Air, Compression=50%, Technique=Pruning2025.1083.80.809—
HC-SMoEModel=Qwen3-30B-A3B, Compression=25%, Technique=Merging2025.1083.40.849—
+Speed-RL-GRPOBase Model=Qwen2.5-Math-7B, Training Method=Speed-RL-GRPO2025.1082.848.84—
OPDTeacher-Student Setting=Qwen3-8B -> Llama3.1-8B-SFT2026.0682.6——
Full Fine-TuningModel=1.5B2026.0682——
+CurES-RPPBase Model=Qwen2.5-Math-7B, Training Method=CurES-RPP2025.1081.849.62—
+GVM-GRPOBase Model=Qwen2.5-Math-7B, Training Method=GVM-GRPO2025.1081.650.64—
+GVM-RPPBase Model=Qwen2.5-Math-7B, Training Method=GVM-RPP2025.1081.646.95—
CDMTeacher-Student Setting=Qwen3-8B -> Llama3.1-8B-SFT2026.0681.4——
+RPPBase Model=Qwen2.5-Math-7B, Training Method=RPP2025.1081.250.18—
ALMTeacher-Student Setting=Qwen3-8B -> Llama3.1-8B-SFT2026.0681.2——
SFTTeacher-Student Setting=Qwen3-8B -> Llama3.1-8B-SFT2026.0680.8——
+GRPOBase Model=Qwen2.5-Math-7B, Training Method=GRPO2025.108047.59—
LoRA-αModel=1.5B2026.0679.8——
BASESolver=Gemini 3 Pro, K=82026.0679.4—98.7
+Speed-RL-RPPBase Model=Qwen2.5-Math-7B, Training Method=Speed-RL-RPP2025.1078.649.56—
+CurES-GRPOBase Model=Qwen2.5-Math-1.5B, Training Method=CurES-GRPO2025.1077.244.94—
+GVM-RPPBase Model=Qwen2.5-Math-1.5B, Training Method=GVM-RPP2025.1075.442.21—
+CurES-RPPBase Model=Qwen2.5-Math-1.5B, Training Method=CurES-RPP2025.1075.444.14—
+GVM-GRPOBase Model=Qwen2.5-Math-1.5B, Training Method=GVM-GRPO2025.1074.842.82—
+GRPOBase Model=Qwen2.5-Math-1.5B, Training Method=GRPO2025.1073.841.64—
HC-SMoEModel=GLM-4.5-Air, Compression=50%, Technique=Merging2025.1073.20.7—
Independent FormalizationSolver=Gemini 3 Pro, K=82026.0670.2—87.3
HC-SMoEModel=Qwen3-30B-A3B, Compression=50%, Technique=Merging2025.1069.60.728—
+Speed-RL-GRPOBase Model=Qwen2.5-Math-1.5B, Training Method=Speed-RL-GRPO2025.1068.841.34—
BASESolver=R1-Qwen3-8B, K=82026.0667.5—98.8
+Speed-RL-RPPBase Model=Qwen2.5-Math-1.5B, Training Method=Speed-RL-RPP2025.1065.841.75—
+RPPBase Model=Qwen2.5-Math-1.5B, Training Method=RPP2025.1064.835.86—
FrequencyModel=GLM-4.5-Air, Compression=50%, Technique=Pruning2025.1061.20.613—
Qwen2.5-Math-7BBase Model=Qwen2.5-Math-7B, Training Method=Base2025.1060.233.48—
Independent FormalizationSolver=R1-Qwen3-8B, K=82026.0658.7—85.4
BASESolver=Qwen3-8B, K=82026.0651.2—96.3
LLaDA + DreamEnsemble Type=Intermediate-generation Ensemble, Scoring Function=Token change count2026.0648.6——
LLaDA + DreamEnsemble Type=Intermediate-generation Ensemble, Scoring Function=Probability margin2026.0648.4——
DreamEnsemble Type=Single Model2026.0648——
LLaDA + DreamEnsemble Type=Intermediate-generation Ensemble, Scoring Function=Top-1 probability2026.0647——
M-SMoEModel=GLM-4.5-Air, Compression=50%, Technique=Merging2025.1046.60.465—
Independent FormalizationSolver=Qwen3-8B, K=82026.0645.7—88.2
StableDRLSeq Len=2562026.0345.2——
LLaDA + DreamEnsemble Type=Intermediate-generation Ensemble, Scoring Function=Entropy2026.0645.2——
StableDRLSeq Len=5122026.0344——
ESPOSeq Len=5122026.0343.4——
LLaDA + DreamEnsemble Type=Post-generation Ensemble2026.0643——
Full Fine-TuningModel=7B2026.0642.65——
SPG w/ MixtureSeq Len=5122026.0341.8——
Qwen2.5-Math-1.5BBase Model=Qwen2.5-Math-1.5B, Training Method=Base2025.1040.220—
SPG w/ MixtureSeq Len=2562026.0340——
SCRLBackbone=Llama-3.2-1B-Instruct2026.0339.723.2—
D1Seq Len=5122026.0339.4——
UniGRPOSeq Len=5122026.0339.4——
WD1Seq Len=5122026.0339——
ESPOSeq Len=2562026.0339——
WD1Seq Len=2562026.0337.4——
UniGRPOSeq Len=2562026.0337.4——
LLaDAEnsemble Type=Single Model2026.0637.4——
StableDRLSeq Len=1282026.0336.2——
D1Seq Len=2562026.0336——
ESPOSeq Len=1282026.0336——
LLaDA-1.5Seq Len=5122026.0335.8——
LLaDA-8B-Inst.Seq Len=5122026.0334.6——
SPG w/ MixtureSeq Len=1282026.0333.4——