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Mathematical Reasoning on AMO-Bench (pass@8, Average)

36.72Pass@8SFT on self-reflections + RL
15.171220.765626.3631.9544Jan 20, 2026Feb 2, 2026Feb 16, 2026Mar 2, 2026Mar 16, 2026Mar 30, 2026Apr 13, 2026

Evaluation results

MethodLinks
SFT on self-reflections + RLBackbone=Qwen3-4B-Instruct-2507, Number of rollouts=128, Average train reward (D_train)=23.192026.0136.7227.6
InT + RLBackbone=Qwen3-4B-Instruct-2507, Number of rollouts=128, Average train reward (D_train)=28.832026.0136.1633.72
SD-ZEROBase Model=Qwen3-4B-Instruct2026.0436—
RLBackbone=Qwen3-4B-Instruct-2507, Number of rollouts=128, Average train reward (D_train)=13.472026.0135.2128.26
Hint-guided RLBackbone=Qwen3-4B-Instruct-2507, Number of rollouts=128, Average train reward (D_train)=23.062026.0133.3428.56
Qwen3-4B-InstructBase Model=Qwen3-4B-Instruct2026.0430—
RFTBase Model=Qwen3-4B-Instruct2026.0430—
SD-ZEROBase Model=Olmo-3-7B-Instruct2026.0430—
GRPOBase Model=Qwen3-4B-Instruct2026.0428—
SRTBase Model=Qwen3-4B-Instruct2026.0428—
BaseBackbone=Qwen3-4B-Instruct-2507, Number of rollouts=128, Average train reward (D_train)=5.532026.0126.2421.17
SDFTBase Model=Qwen3-4B-Instruct2026.0426—
SFT on ref. solutions + RLBackbone=Qwen3-4B-Instruct-2507, Number of rollouts=128, Average train reward (D_train)=19.072026.0125.1920.76
RFTBase Model=Olmo-3-7B-Instruct2026.0422—
SDFTBase Model=Olmo-3-7B-Instruct2026.0420—
SRTBase Model=Olmo-3-7B-Instruct2026.0420—
SFTBase Model=Qwen3-4B-Instruct2026.0418—
SFTBase Model=Olmo-3-7B-Instruct2026.0418—
GRPOBase Model=Olmo-3-7B-Instruct2026.0418—
Olmo-3-7B-InstructBase Model=Olmo-3-7B-Instruct2026.0416—