List your company

General Reasoning on GPQA (pass@k)

65.7pass@1SRGen
19.83631.74343.6555.557Sep 18, 2025Oct 18, 2025Nov 18, 2025Dec 18, 2025Jan 18, 2026Feb 17, 2026Mar 20, 2026

Evaluation results

MethodLinks
SRGenModel=Qwen3-32B2025.1065.7—
Self-RefineModel=Qwen3-32B2025.1064.9—
CoTModel=Qwen3-32B2025.1063.5—
SRGenModel=DS-R1-Qwen-7B2025.1051.3—
Self-RefineModel=DS-R1-Qwen-7B2025.1051.2—
CoTModel=DS-R1-Qwen-7B2025.1050—
SRGenModel=DS-R1-Llama-8B2025.1048.5—
Self-RefineModel=DS-R1-Llama-8B2025.1047.9—
CoTModel=DS-R1-Llama-8B2025.1046.4—
EVOL-RLBase Model Size=8B, Training Dataset=AIME242025.0945.290
EVOL-RLBase Model Size=8B, Training Dataset=MATH-5002025.0943.992.2
EVOL-RLBase Model Size=8B, Training Dataset=MATH-TRAIN2025.0943.588.1
TTRLBase Model Size=8B, Training Dataset=MATH-5002025.0943.584
EVOL-RLBase Model Size=4B, Training Dataset=MATH-5002025.0938.889.1
TTRLBase Model Size=8B, Training Dataset=AIME242025.0938.374.7
TTRLBase Model Size=8B, Training Dataset=MATH-TRAIN2025.0938.177.1
EVOL-RLBase Model Size=4B, Training Dataset=AIME242025.093887.8
EVOL-RLBase Model Size=4B, Training Dataset=MATH-TRAIN2025.0937.288.7
TTRLBase Model Size=4B, Training Dataset=MATH-TRAIN2025.0936.581.4
TTRLBase Model Size=4B, Training Dataset=MATH-5002025.0936.275.9
TTRLBase Model Size=4B, Training Dataset=AIME242025.0935.173.5
Qwen3-8B-BaseBase Model Size=8B, Training Dataset=-2025.0934.988
Qwen3-4B-BaseBase Model Size=4B, Training Dataset=-2025.0934.485.6
SRGenModel=Qwen2.5-Math-7B2025.1033.8—
CoTModel=Qwen2.5-Math-7B2025.1031.8—
Self-RefineModel=Qwen2.5-Math-7B2025.1031.5—
SCRLCandidate responses=64, Training samples=32, Backbone=Qwen2.5-Math-7B2026.0326—
SCRLCandidate responses=32, Training samples=16, Backbone=Qwen2.5-3B2026.0325.7—
TTRLCandidate responses=32, Training samples=16, Backbone=Qwen2.5-Math-7B2026.0325.5—
TTRLCandidate responses=64, Training samples=32, Backbone=Qwen2.5-Math-7B2026.0325.5—
SCRLCandidate responses=32, Training samples=16, Backbone=Qwen2.5-Math-7B2026.0325.4—
TTRLCandidate responses=32, Training samples=16, Backbone=Qwen2.5-3B2026.0325—
SCRLCandidate responses=64, Training samples=32, Backbone=Qwen2.5-3B2026.0324.5—
TTRLCandidate responses=64, Training samples=32, Backbone=Qwen2.5-3B2026.0323.5—
Qwen2.5-Math-7BCandidate responses=32, Training samples=16, Backbone=Qwen2.5-Math-7B2026.0323—
Qwen2.5-Math-7BCandidate responses=64, Training samples=32, Backbone=Qwen2.5-Math-7B2026.0323—
Qwen2.5-3BCandidate responses=32, Training samples=16, Backbone=Qwen2.5-3B2026.0321.6—
Qwen2.5-3BCandidate responses=64, Training samples=32, Backbone=Qwen2.5-3B2026.0321.6—