Math Reasoning on AMC 2023 (test)
92.97Pass@1Clip-Higher + QAE
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Clip-Higher + QAEModel=Qwen3-8B-Base2025.09 | 92.97 | — | — | — | 97.5 | — | — | — | — | |
| Clip-HigherModel=Qwen3-8B-Base2025.09 | 92.11 | — | — | — | 97.5 | — | — | — | — | |
| CLIP-Cov + QAEModel=Qwen3-8B-Base2025.09 | 90.23 | — | — | — | 96.25 | — | — | — | — | |
| GSPOModel=Qwen3-30B-A3B-Base2025.09 | 90 | — | — | — | 99.39 | — | — | — | — | |
| GSPO + QAEModel=Qwen3-30B-A3B-Base2025.09 | 89.38 | — | — | — | 97.21 | — | — | — | — | |
| KL-Cov + QAEModel=Qwen3-8B-Base2025.09 | 87.97 | — | — | — | 96.25 | — | — | — | — | |
| CLIP-CovModel=Qwen3-8B-Base2025.09 | 87.42 | — | — | — | 96.25 | — | — | — | — | |
| KL-CovModel=Qwen3-8B-Base2025.09 | 86.02 | — | — | — | 95 | — | — | — | — | |
| RLADModel=Qwen2.5-1.5B-DS, Context=8K2026.02 | 78.2 | — | — | — | — | 95 | — | — | — | |
| Qwen2.5-1.5B-DSTraining=KDRL, Context=8K2026.02 | 77.3 | — | — | — | — | 94.5 | — | — | — | |
| Qwen2.5-1.5B-DSTraining=GRPO, Context=8K2026.02 | 76.3 | — | — | — | — | 94.9 | — | — | — | |
| RLADModel=Qwen3-1.7B, Context=8K2026.02 | 69.1 | — | — | — | — | 92.3 | — | — | — | |
| Qwen3-1.7BTraining=KDRL, Context=8K2026.02 | 64.5 | — | — | — | — | 89.2 | — | — | — | |
| KL-CovBackbone=DeepSeek-Distill-Qwen-7B2026.05 | 63.42 | — | — | — | — | — | 95.18 | — | — | |
| Ent-RegBackbone=DeepSeek-Distill-Qwen-7B2026.05 | 63.08 | — | — | — | — | — | 93.98 | — | — | |
| Qwen3-1.7BTraining=GRPO, Context=8K2026.02 | 62.7 | — | — | — | — | 86.9 | — | — | — | |
| UCPOBackbone=DeepSeek-Distill-Qwen-7B2026.05 | 62.58 | — | — | — | — | — | 97.59 | — | — | |
| GRPOBackbone=DeepSeek-Distill-Qwen-7B2026.05 | 61.86 | — | — | — | — | — | 93.98 | — | — | |
| FGRPOBackbone=DeepSeek-Distill-Qwen-7B2026.05 | 61.77 | — | — | — | — | — | 95.18 | — | — | |
| Ent-AdvBackbone=DeepSeek-Distill-Qwen-7B2026.05 | 59.71 | — | — | — | — | — | 96.39 | — | — | |
| Qwen2.5-1.5B-DSTraining=-, Context=8K2026.02 | 57.4 | — | — | — | — | 92.5 | — | — | — | |
| Pass@KBackbone=DeepSeek-Distill-Qwen-7B2026.05 | 56.44 | — | — | — | — | — | 93.98 | — | — | |
| Ent-RegBackbone=DeepSeek-Distill-Qwen-1.5B2026.05 | 56.12 | — | — | — | — | — | 89.16 | — | — | |
| GRPOBackbone=DeepSeek-Distill-Qwen-1.5B2026.05 | 55.27 | — | — | — | — | — | 87.95 | — | — | |
| KL-CovBackbone=DeepSeek-Distill-Qwen-1.5B2026.05 | 54.78 | — | — | — | — | — | 91.57 | — | — | |
| Ent-AdvBackbone=DeepSeek-Distill-Qwen-1.5B2026.05 | 54.07 | — | — | — | — | — | 91.57 | — | — | |
| UCPOBackbone=DeepSeek-Distill-Qwen-1.5B2026.05 | 52.97 | — | — | — | — | — | 93.98 | — | — | |
| FGRPOBackbone=DeepSeek-Distill-Qwen-1.5B2026.05 | 52.79 | — | — | — | — | — | 93.98 | — | — | |
| Qwen3-1.7BTraining=-, Context=8K2026.02 | 52 | — | — | — | — | 76.5 | — | — | — | |
| Pass@KBackbone=DeepSeek-Distill-Qwen-1.5B2026.05 | 47.63 | — | — | — | — | — | 93.98 | — | — | |
| Qwen2.5-7B-FULLBackbone=Qwen2.5-7B, Data Selection Method=Full Dataset, Sample Size=17K2025.06 | 47 | — | — | — | — | — | — | — | — | |
| GRPOBackbone=Qwen2.5-7B2026.05 | 44.26 | — | — | — | — | — | 90.36 | — | — | |
| UCPOBackbone=Qwen2.5-7B2026.05 | 43.66 | — | — | — | — | — | 91.57 | — | — | |
| Ent-RegBackbone=Qwen2.5-7B2026.05 | 42.09 | — | — | — | — | — | 86.75 | — | — | |
| KL-CovBackbone=Qwen2.5-7B2026.05 | 41.87 | — | — | — | — | — | 87.95 | — | — | |
| Ent-AdvBackbone=Qwen2.5-7B2026.05 | 41.74 | — | — | — | — | — | 90.36 | — | — | |
| FGRPOBackbone=Qwen2.5-7B2026.05 | 41.74 | — | — | — | — | — | 91.57 | — | — | |
| Pass@KBackbone=Qwen2.5-7B2026.05 | 38.52 | — | — | — | — | — | 89.16 | — | — | |
| LearnAlignBackbone=Qwen2.5-7B, Data Selection Method=LearnAlign, Sample Size=1,0002025.06 | 35.4 | — | — | — | — | — | — | — | — | |
| SelectITBackbone=Qwen2.5-7B, Data Selection Method=SelectIT, Sample Size=1,0002025.06 | 32.7 | — | — | — | — | — | — | — | — | |
| Qwen2.5-3B-FULLBackbone=Qwen2.5-3B, Data Selection Method=Full Dataset, Sample Size=17K2025.06 | 31 | — | — | — | — | — | — | — | — | |
| Token LengthBackbone=Qwen2.5-7B, Data Selection Method=Token Length, Sample Size=1,0002025.06 | 31 | — | — | — | — | — | — | — | — | |
| Random SamplingBackbone=Qwen2.5-7B, Data Selection Method=Random Sampling, Sample Size=1,0002025.06 | 30.1 | — | — | — | — | — | — | — | — | |
| IFDBackbone=Qwen2.5-7B, Data Selection Method=IFD, Sample Size=1,0002025.06 | 29.8 | — | — | — | — | — | — | — | — | |
| LearnAlignBackbone=Qwen2.5-3B, Data Selection Method=LearnAlign, Sample Size=1,0002025.06 | 28.3 | — | — | — | — | — | — | — | — | |
| PPL-TopBackbone=Qwen2.5-7B, Data Selection Method=PPL-Top, Sample Size=1,0002025.06 | 28 | — | — | — | — | — | — | — | — | |
| PPL-MiddleBackbone=Qwen2.5-7B, Data Selection Method=PPL-Middle, Sample Size=1,0002025.06 | 27.3 | — | — | — | — | — | — | — | — | |
| LIMRBackbone=Qwen2.5-7B, Data Selection Method=LIMR, Sample Size=1,0002025.06 | 27.1 | — | — | — | — | — | — | — | — | |
| LIMRBackbone=Qwen2.5-3B, Data Selection Method=LIMR, Sample Size=1,0002025.06 | 25.6 | — | — | — | — | — | — | — | — | |
| SelectITBackbone=Qwen2.5-3B, Data Selection Method=SelectIT, Sample Size=1,0002025.06 | 25.2 | — | — | — | — | — | — | — | — | |
| PPL-MiddleBackbone=Qwen2.5-3B, Data Selection Method=PPL-Middle, Sample Size=1,0002025.06 | 24.1 | — | — | — | — | — | — | — | — | |
| IFDBackbone=Qwen2.5-3B, Data Selection Method=IFD, Sample Size=1,0002025.06 | 23.3 | — | — | — | — | — | — | — | — | |
| PPL-TopBackbone=Qwen2.5-3B, Data Selection Method=PPL-Top, Sample Size=1,0002025.06 | 23 | — | — | — | — | — | — | — | — | |
| Random SamplingBackbone=Qwen2.5-3B, Data Selection Method=Random Sampling, Sample Size=1,0002025.06 | 19.4 | — | — | — | — | — | — | — | — | |
| Token LengthBackbone=Qwen2.5-3B, Data Selection Method=Token Length, Sample Size=1,0002025.06 | 18.5 | — | — | — | — | — | — | — | — | |
| Qwen2.5-7BBackbone=Qwen2.5-7B, Data Selection Method=Base Model (Zero-shot), Sample Size=N/A2025.06 | 18.1 | — | — | — | — | — | — | — | — | |
| Qwen2.5-3BBackbone=Qwen2.5-3B, Data Selection Method=Base Model (Zero-shot), Sample Size=N/A2025.06 | 8.1 | — | — | — | — | — | — | — | — |