List your company

Mathematical Reasoning on Minerva Math (Accuracy)

93AccuracyOLMo3-7B-Think-DPO + GRPO (FLIP)
30.28846.56962.8579.131Jun 3, 2025Aug 8, 2025Oct 14, 2025Dec 19, 2025Feb 24, 2026May 1, 2026Jul 7, 2026

Evaluation results

MethodLinks
OLMo3-7B-Think-DPO + GRPO (FLIP)Reward Model=Qwen3-4B FLIP, Training Method=GRPO2026.0293
OLMo3-7B-Think-DPO + GRPO (FLIP)Reward Model=Qwen3-1.7B FLIP, Training Method=GRPO2026.0292.3
OLMo3-7B-ThinkStatus=Final version after RLVR2026.0292
OLMo3-7B-Think-DPO + GRPOReward Model=Qwen3-1.7B LLM-as-a-Judge, Training Method=GRPO2026.0291.8
OLMo3-7B-Think-DPO + GRPOReward Model=Qwen3-4B LLM-as-a-Judge, Training Method=GRPO2026.0291.8
OLMo3-7B-Think-DPOBase Model=OLMo3-7B2026.0289.1
Nemotron-Labs-Diffusion-8BGen. Mode=Linear SS, Avg TPF=4.672026.0767.38
Nemotron-Labs-Diffusion-8BGen. Mode=Quad. SS, Avg TPF=7.042026.0766.24
Nemotron-Labs-Diffusion-8BGen. Mode=AR, Avg TPF=1.002026.0766
Nemotron-Labs-Diffusion-8BGen. Mode=Diff., Avg TPF=2.062026.0765.16
BACRToken Budget=4096, Average Token Usage=22452026.0360.4
Critique-GRPOCritique Model=GPT-4o, Decoding budget=16,384 tokens2025.0659.6
BACRToken Budget=2048, Average Token Usage=22452026.0356.8
AnytimeReasonerToken Budget=4096, Average Token Usage=25182026.0356
DAPOToken Budget=4096, Average Token Usage=34892026.0354.2
R1-GRPOCritique Model=None, Decoding budget=16,384 tokens2025.0654
Qwen3-32BCritique Model=None, Decoding budget=16,384 tokens2025.0653.7
SelfBudgeterToken Budget=4096, Average Token Usage=27342026.0353.4
Qwen3-8BGen. Mode=AR, Avg TPF=1.002026.0752.94
GRPOToken Budget=4096, Average Token Usage=35672026.0352.8
AnytimeReasonerToken Budget=2048, Average Token Usage=25182026.0351.4
ConSteer-RLBackbone=Qwen3-8B-Base2026.0649.3
SelfBudgeterToken Budget=2048, Average Token Usage=27342026.0348.6
BACRToken Budget=1024, Average Token Usage=22452026.0346.8
GRPOBackbone=Qwen3-8B-Base2026.0646.7
SPIRALFamily=Qwen3-8B-Base Family, Game=Multi-Game2025.0646.3
DAPOToken Budget=2048, Average Token Usage=34892026.0346
GRPOModel=Qwen3-4B-Base, QB (Query-preserved mini batching)=false, RB (Reward-balanced batching)=true2026.0546
ConSteer-RLBackbone=Qwen3-4B-Base2026.0645.2
GRPOModel=Qwen3-4B-Base, QB (Query-preserved mini batching)=true, RB (Reward-balanced batching)=false2026.0544.9
Ministral3-8BGen. Mode=AR, Avg TPF=1.002026.0744.58
GRPOModel=Qwen3-4B-Base, QB (Query-preserved mini batching)=false, RB (Reward-balanced batching)=false2026.0544.5
GRPOToken Budget=2048, Average Token Usage=35672026.0344.2
Eurus-2-7B-PRIME-R-TAPtraining=R-TAP integrated2026.0343.8
GRPOModel=Qwen3-4B-Base, QB (Query-preserved mini batching)=true, RB (Reward-balanced batching)=true2026.0543.4
SPIRALFamily=Qwen3-4B-Base Family, Game=Multi-Game2025.0642.6
GRPOBackbone=Qwen3-4B-Base2026.0642.6
Re-Schedule_sigmoidBackbone=Qwen2.5-Math-7B, Evaluation Protocol=avg@32, Weighting Scheme=sigmoid2025.1042.3
AnytimeReasonerToken Budget=1024, Average Token Usage=25182026.0342.2
S1KModel=Qwen3-14B-Base, Decoding Strategy=Zero-shot greedy2026.0440.8
Qwen3-4B-Base + RLBase Model=Qwen3-4B, Optimization Method=RL, Training Dataset=DeepScaleR2025.1140.1
ConSteer-RLBackbone=Qwen2.5-Math-7B2026.0640.1
SelfBudgeterToken Budget=1024, Average Token Usage=27342026.0339.8
Legislator-Executor (Ours)Model=Qwen3-8B-Base, Decoding Strategy=Zero-shot greedy2026.0439.7
DAPO + RSPBackbone=Qwen2.5-Math-7B, Step Selection=peak step, Sampling Strategy=greedy2026.0539.7
Dream-7BGen. Mode=Diff., Avg TPF=1.002026.0739.6
Eurus-2-7B-PRIME2026.0339.3
EEPOBase Model=Qwen3-14B-Base2025.1039.3
LIMOModel=Qwen3-14B-Base, Decoding Strategy=Zero-shot greedy2026.0439
Legislator-Executor (Ours)Model=Qwen3-14B-Base, Decoding Strategy=Zero-shot greedy2026.0439
LPPOBackbone=Qwen2.5-Math-7B, Evaluation Protocol=avg@322025.1039
AbstRaLModel=Qwen2.5-Math-7B-Instruct, GSM Train Method=AbstRaL, Evaluation Protocol=Zero-shot2025.0638.6
OPOBackbone=Qwen2.5-Math-7B, Evaluation Protocol=avg@322025.1038.6
ACC_sigmoidBackbone=Qwen2.5-Math-7B, Evaluation Protocol=avg@32, Weighting Scheme=sigmoid2025.1038.6
DistRL w/ IPVRMBase Model=Qwen3-8B base, Evaluation=AVG@82026.0438.4
Qwen3-8B-BaseFamily=Qwen3-8B-Base Family2025.0638.2
Seed-GRPOBackbone=Qwen2.5-Math-7B, Evaluation Protocol=avg@322025.1038.2
BaselineBackbone=Qwen3-8B-Base2026.0637.9
BaseModel=Qwen3-14B-Base, Decoding Strategy=Zero-shot greedy2026.0437.5
S1KModel=Qwen3-8B-Base, Decoding Strategy=Zero-shot greedy2026.0437.5
GRPOBackbone=Qwen2.5-Math-7B, Evaluation Protocol=avg@322025.1037.5
Eurus-PRIMEBackbone=Qwen2.5-Math-7B, Evaluation Protocol=avg@322025.1037.5
DAPOBackbone=Qwen2.5-Math-7B, Step Selection=peak step, Sampling Strategy=greedy2026.0537.5
DAPOToken Budget=1024, Average Token Usage=34892026.0337.4
Llama-3.1-70B-Inst.2026.0337.1
SimpleRL-ZooBackbone=Qwen2.5-Math-7B, Evaluation Protocol=avg@322025.1037.1
DIVERBase Model=DeepSeek-R1-Distill-Qwen-7B2025.0936.8
GPT-4o2026.0336.8
GRPOBase Model=Qwen3-14B-Base2025.1036.8
GRPOModel=Qwen2.5-Math-7B, QB (Query-preserved mini batching)=true, RB (Reward-balanced batching)=false2026.0536.7
RLOO2026.0336.4
GRPO w/ DPO-RMBase Model=Qwen3-8B base, Evaluation=AVG@82026.0436.4
Re-Schedule_linearBackbone=Qwen2.5-Math-7B, Evaluation Protocol=avg@32, Weighting Scheme=linear2025.1036.4
GRPOModel=Qwen2.5-Math-7B, QB (Query-preserved mini batching)=true, RB (Reward-balanced batching)=true2026.0536
SPROBase Model=Qwen3-8B base, Evaluation=AVG@82026.0435.8
CoT-RLModel=Qwen2.5-Math-7B-Instruct, GSM Train Method=CoT-RL, Evaluation Protocol=Zero-shot2025.0635.7
GRPOBase Model=DeepSeek-R1-Distill-Qwen-7B, Reward Strategy=Clip-higher2025.0935.7
LIMOModel=Qwen3-8B-Base, Decoding Strategy=Zero-shot greedy2026.0435.7
GRPOModel=Qwen3-1.7B-Base, QB (Query-preserved mini batching)=true, RB (Reward-balanced batching)=true2026.0535.7
GRPOToken Budget=1024, Average Token Usage=35672026.0335.6
Legislator-Executor (Ours)Model=Qwen3-4B-Base, Decoding Strategy=Zero-shot greedy2026.0435.3
GRPO w/ IPVRMBase Model=Qwen3-8B base, Evaluation=AVG@82026.0435.2
GRPOBackbone=Qwen2.5-Math-7B2026.0634.9
SKPO (Ours)Base Model=Qwen2.5-Math-7B2026.0434.7
Ori-SFTModel=Qwen2.5-Math-7B-Instruct, GSM Train Method=Ori-SFT, Evaluation Protocol=Zero-shot2025.0634.6
CoAModel=Qwen2.5-Math-7B-Instruct, GSM Train Method=CoA, Evaluation Protocol=Zero-shot2025.0634.6
Qwen2.5-Math-7B-Inst.2026.0334.6
PRIMEBase Model=Qwen3-8B base, Evaluation=AVG@82026.0434.3
Legislator-Executor (Ours)Model=Qwen2.5-Math-7B, Decoding Strategy=Zero-shot greedy2026.0434.2
Reinforce w/ Q-RMBase Model=Qwen3-8B base, Evaluation=AVG@82026.0434.2
SAPOBase Model=Qwen2.5-Math-7B2026.0433.8
Legislator-Executor (Ours)Model=Qwen2.5-7B-QwQ, Decoding Strategy=Zero-shot greedy2026.0433.8
GRPOModel=Qwen3-1.7B-Base, QB (Query-preserved mini batching)=true, RB (Reward-balanced batching)=false2026.0533.8
S1KModel=Qwen3-4B-Base, Decoding Strategy=Zero-shot greedy2026.0433.5
S1KModel=Qwen2.5-Math-7B, Decoding Strategy=Zero-shot greedy2026.0433.5
GRPO w/ VRBase Model=Qwen3-8B base, Evaluation=AVG@82026.0433.5
Eurus-2-7B-SFT2026.0332.7
BaseModel=Qwen3-8B-Base, Decoding Strategy=Zero-shot greedy2026.0432.7
BaseModel=Qwen2.5-7B-QwQ, Decoding Strategy=Zero-shot greedy2026.0432.7
LIMOModel=Qwen2.5-7B-QwQ, Decoding Strategy=Zero-shot greedy2026.0432.7