List your company

Mathematical Reasoning on AIME 2024 (Acc@16, Pass@16)

50.8Accuracy @16Teacher
-2.03211.68425.439.116Sep 3, 2025Oct 18, 2025Dec 3, 2025Jan 18, 2026Mar 4, 2026Apr 19, 2026Jun 4, 2026

Evaluation results

MethodLinks
TeacherBackbone=JustRL-1.5B2026.0650.8——
OPRD2026.0649.8——
OPD top-162026.0647.1——
GRPOModel Size=Qwen3-8B, Training Domain=Physics2026.0544.44——
GRPOModel Size=Qwen3-8B, Training Domain=Chemistry2026.0543.06——
OPD top-1Variant=sampled-token2026.0642.3——
GRPOModel Size=Qwen3-8B, Training Domain=Material2026.0539.58——
GRPOModel Size=Qwen3-8B, Training Domain=Biology2026.0538.89——
GRPOModel Size=Qwen3-4B, Training Domain=Material2026.0538.89——
GRPOModel Size=Qwen3-8B, Training Domain=ToolUse2026.0536.11——
GRPOModel Size=Qwen3-4B, Training Domain=Chemistry2026.0535.42——
GRPOModel Size=Qwen3-4B, Training Domain=Physics2026.0535.42——
ROSDModel Size=Qwen3-8B, Training Domain=Chemistry2026.0534.03——
ROSDModel Size=Qwen3-8B, Training Domain=Material2026.0534.03——
SDPOModel Size=Qwen3-4B, Training Domain=Biology2026.0533.33——
ROSDModel Size=Qwen3-8B, Training Domain=Physics2026.0533.33——
GRPOModel Size=Qwen3-4B, Training Domain=ToolUse2026.0533.33——
ROSDModel Size=Qwen3-8B, Training Domain=ToolUse2026.0533.33——
StudentBackbone=R1-distill-1.5B2026.0632.9——
ROSDModel Size=Qwen3-8B, Training Domain=Biology2026.0532.64——
ROSDModel Size=Qwen3-4B, Training Domain=Biology2026.0531.94——
SDPOModel Size=Qwen3-8B, Training Domain=ToolUse2026.0531.94——
ROSDModel Size=Qwen3-4B, Training Domain=ToolUse2026.0531.94——
GRPOModel Size=Qwen3-4B, Training Domain=Biology2026.0531.25——
SDPOModel Size=Qwen3-8B, Training Domain=Biology2026.0531.25——
ROSDModel Size=Qwen3-4B, Training Domain=Chemistry2026.0530.56——
ROSDModel Size=Qwen3-4B, Training Domain=Material2026.0529.86——
SDPOModel Size=Qwen3-8B, Training Domain=Physics2026.0529.17——
ROSDModel Size=Qwen3-4B, Training Domain=Physics2026.0528.47——
GRPOBase Model=Qwen2.5-Math-7B2026.0225.946.9—
GRPOBase Model=Qwen3-8B2026.0225.747.5—
SDPOModel Size=Qwen3-8B, Training Domain=Material2026.0525——
PROF-POSModel=Qwen2.5-Math-7B-base, Temperature=1.0, Evaluation Protocol=average@162025.0924.8——
URSBase Model=Qwen3-8B2026.0224.547.4—
RPCBase Model=Qwen3-8B2026.0223.644.2—
PowerSamplingBackbone=Qwen2.5-Math-7B2026.0323.3——
Low-tempBackbone=Qwen2.5-Math-7B2026.0323.1——
GRPOBackbone=Qwen2.5-Math-7B2026.0322.7——
TTRLBackbone=Qwen2.5-Math-7B2026.0321.7——
GRPOModel=Qwen2.5-Math-7B-base, Temperature=1.0, Evaluation Protocol=average@162025.0920.6——
PowerFlowBackbone=Qwen2.5-Math-7B2026.0320——
URSBase Model=Qwen2.5-Math-7B2026.021936—
Det. Trunc.Base Model=Qwen3-8B2026.021948.8—
One-shot EMBackbone=Qwen2.5-Math-7B2026.0318.1——
PROF-BOTHModel=Qwen2.5-Math-7B-base, Temperature=1.0, Evaluation Protocol=average@162025.0917.5——
RPCBase Model=Qwen2.5-Math-7B2026.021740.5—
EMPOBackbone=Qwen2.5-Math-7B2026.0315.8——
BlendModel=Qwen2.5-Math-7B-base, Temperature=1.0, Evaluation Protocol=average@162025.0915.2——
Qwen2.5-32B-InstructBackbone=Qwen2.5-32B-Instruct2026.0313.1——
BaseModel=Qwen2.5-Math-7B-base, Temperature=1.0, Evaluation Protocol=average@162025.0912.9——
InstructBackbone=Qwen2.5-Math-7B2026.0312.5——
EMPOBackbone=Qwen2.5-Math-1.5B2026.0312.3——
BaseBackbone=Qwen2.5-Math-7B2026.0312.3——
GRPOBackbone=Llama-3.2-3B-Instruct2026.0311.2——
SDPOModel Size=Qwen3-4B, Training Domain=ToolUse2026.0511.11——
PowerFlowBackbone=Qwen2.5-Math-1.5B2026.0310.8——
PowerFlowBackbone=Llama-3.2-3B-Instruct2026.0310.7——
PROF-POSModel=Qwen2.5-Math-1.5B-base, Temperature=1.0, Evaluation Protocol=average@162025.0910.6——
InstructBackbone=Qwen2.5-Math-1.5B2026.0310.2——
Low-tempBackbone=Llama-3.2-3B-Instruct2026.039.6——
PROF-BOTHModel=Qwen2.5-Math-1.5B-base, Temperature=1.0, Evaluation Protocol=average@162025.099.6——
Low-tempBackbone=Qwen2.5-Math-1.5B2026.039.4——
IntuitorBackbone=Llama-3.2-3B-Instruct2026.039.2——
SDPOModel Size=Qwen3-8B, Training Domain=Chemistry2026.059.03——
GRPOModel=Qwen2.5-Math-1.5B-base, Temperature=1.0, Evaluation Protocol=average@162025.099——
SDPOModel Size=Qwen3-4B, Training Domain=Physics2026.058.33——
GRPOBackbone=Qwen2.5-Math-1.5B2026.038.1——
BlendModel=Qwen2.5-Math-1.5B-base, Temperature=1.0, Evaluation Protocol=average@162025.097.7——
PROF-POSModel=LLaMA-3.2-3B-instruct, Temperature=1.0, Evaluation Protocol=average@162025.096.7——
Format-onlyBackbone=Qwen2.5-Math-1.5B2026.035.6——
PROF-BOTHModel=LLaMA-3.2-3B-instruct, Temperature=1.0, Evaluation Protocol=average@162025.095.4——
GRPOModel=LLaMA-3.2-3B-instruct, Temperature=1.0, Evaluation Protocol=average@162025.095——
SDPOModel Size=Qwen3-4B, Training Domain=Material2026.054.86——
BaseBackbone=Qwen2.5-Math-1.5B2026.034.6——
BaseBackbone=Llama-3.2-3B-Instruct2026.034——
Det. Trunc.Base Model=Qwen2.5-Math-7B2026.023.77.2—
BaseModel=Qwen2.5-Math-1.5B-base, Temperature=1.0, Evaluation Protocol=average@162025.093.5——
BaseModel=LLaMA-3.2-3B-instruct, Temperature=1.0, Evaluation Protocol=average@162025.092.3——
IntuitorBackbone=Qwen2.5-1.5B2026.031.5——
GRPOBackbone=Qwen2.5-1.5B2026.031——
BlendModel=LLaMA-3.2-3B-instruct, Temperature=1.0, Evaluation Protocol=average@162025.091——
Low-tempBackbone=Qwen2.5-1.5B2026.030.8——
PowerFlowBackbone=Qwen2.5-1.5B2026.030.8——
InstructBackbone=Qwen2.5-1.5B2026.030.8——
BaseBackbone=Qwen2.5-1.5B2026.030——
SDPOModel Size=Qwen3-4B, Training Domain=Chemistry2026.050——
Dense Rollout Dense TrainingModel Backbone=Qwen3-1.7B2026.06—71.7256.87
Dense Rollout Dense TrainingModel Backbone=Qwen3-4B2026.06—83.677.5
Dense Rollout Dense TrainingModel Backbone=Qwen3-8B2026.06—86.3777.7
Dense Rollout Dense TrainingModel Backbone=Qwen3-14B2026.06—88.181.25
Sparse with LoRA Distillation (DistillSparse)Model Backbone=Qwen3-1.7B2026.06—69.2953.33
Sparsity setup (0.86) RolloutModel Backbone=Qwen3-1.7B, Sparsity Level=0.862026.06—69.5854.16
Sparsity setup (0.86) RolloutModel Backbone=Qwen3-4B, Sparsity Level=0.862026.06—83.275.6
Sparsity setup (0.86) RolloutModel Backbone=Qwen3-8B, Sparsity Level=0.862026.06—84.4177.91
Sparsity setup (0.86) RolloutModel Backbone=Qwen3-14B, Sparsity Level=0.862026.06—86.9680.28
Sparsity setup (0.92) RolloutModel Backbone=Qwen3-1.7B, Sparsity Level=0.922026.06—71.5557.7
Sparsity setup (0.92) RolloutModel Backbone=Qwen3-4B, Sparsity Level=0.922026.06—83.677.29
Sparsity setup (0.92) RolloutModel Backbone=Qwen3-8B, Sparsity Level=0.922026.06—84.5678.15