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Reasoning on MMLU-Pro (Min/Max/Avg/Voting/ETTC)

94.21Average ScoreQwen-3-Thinking Ensemble
20.463639.609358.75577.9007May 29, 2026Jun 3, 2026Jun 9, 2026Jun 15, 2026Jun 20, 2026Jun 26, 2026Jul 2, 2026

Evaluation results

MethodLinks
Qwen-3-Thinking EnsembleModels=30B, 235B2026.0594.2194.1294.3195.040.9519
Qwen-3-Thinking EnsembleModels=4B, 30B, 235B2026.0589.8681.1694.3194.820.9482
Qwen-3-Thinking EnsembleModels=4B, 235B2026.0587.7381.1694.3189.790.9467
Qwen-3-Thinking EnsembleModels=4B, 30B2026.0587.6481.1694.1289.340.9408
TeacherBackbone=Llama3.1-70B, Training Method=Supervised Fine-Tuning (SFT), Training Dataset=Full Tulu 32026.0657.37————
NeuFSModel=Qwen3-4B, InfoType=Neuron2026.0745.2————
TypiClustModel=Qwen3-4B, InfoType=S.2026.0743.7————
Highest EntropyModel=Qwen3-4B, InfoType=Highest2026.0743————
FastVoteKModel=Qwen3-4B, InfoType=S.+L.2026.0742————
NeuFSModel=Qwen3-8B, InfoType=Neuron2026.0741.8————
PatronModel=Qwen3-8B, InfoType=S.+E.2026.0741.6————
Diverse EntropyModel=Qwen3-4B, InfoType=Diverse2026.0741.4————
RandomModel=Qwen3-4B, InfoType=N/A2026.0741.2————
FastVoteKModel=Qwen3-8B, InfoType=S.+L.2026.0740.2————
VoteKModel=Qwen3-8B, InfoType=S.+E.+L.2026.0740.2————
FastVoteKModel=Qwen3-4B, InfoType=L.2026.0740.1————
VoteKModel=Qwen3-4B, InfoType=S.+E.2026.0740.1————
TypiClustModel=Qwen3-8B, InfoType=S.2026.0739.8————
TypiClustModel=Qwen3-4B, InfoType=S.+L.2026.0739.8————
Highest EntropyModel=Qwen3-8B, InfoType=Highest2026.0739.4————
Diverse EntropyModel=Qwen3-8B, InfoType=Diverse2026.0739.2————
VoteKModel=Qwen3-8B, InfoType=S.+E.2026.0739.1————
PatronModel=Qwen3-4B, InfoType=S.+E.2026.0739.1————
RandomModel=Qwen3-8B, InfoType=N/A2026.0738.8————
FastVoteKModel=Qwen3-4B, InfoType=S.2026.0738.6————
TypiClustModel=Qwen3-8B, InfoType=S.+L.2026.0738.3————
TypiClustModel=Qwen3-8B, InfoType=L.2026.0738.2————
FastVoteKModel=Qwen3-8B, InfoType=S.2026.0737.9————
TypiClustModel=Qwen3-4B, InfoType=L.2026.0737.6————
VoteKModel=Qwen3-4B, InfoType=S.+E.+L.2026.0737.4————
FastVoteKModel=Qwen3-8B, InfoType=L.2026.0737.3————
GKDBackbone=Llama3.1-8B, Training Method=Two-stage KD strategy (GKD), Training Dataset=Full Tulu 32026.0635.16————
SFTBackbone=Llama3.1-8B, Training Method=Supervised Fine-Tuning (SFT), Training Dataset=Full Tulu 32026.0634.65————
SeqKDBackbone=Llama3.1-8B, Training Method=Two-stage KD strategy (SeqKD), Training Dataset=Full Tulu 32026.0634.64————
NeuFSModel=Llama-3.1-8B, InfoType=Neuron2026.0732.7————
RandomModel=Llama-3.1-8B, InfoType=N/A2026.0732.5————
Diverse EntropyModel=Llama-3.1-8B, InfoType=Diverse2026.0732.4————
TypiClustModel=Llama-3.1-8B, InfoType=S.2026.0732.3————
FastVoteKModel=Llama-3.1-8B, InfoType=L.2026.0732.3————
TypiClustModel=Llama-3.1-8B, InfoType=L.2026.0732.2————
TypiClustModel=Llama-3.1-8B, InfoType=S.+L.2026.0731.8————
FastVoteKModel=Llama-3.1-8B, InfoType=S.+L.2026.0731.8————
VoteKModel=Llama-3.1-8B, InfoType=S.+E.2026.0731.8————
Highest EntropyModel=Llama-3.1-8B, InfoType=Highest2026.0731.7————
FastVoteKModel=Llama-3.1-8B, InfoType=S.2026.0731.6————
PatronModel=Llama-3.1-8B, InfoType=S.+E.2026.0731.3————
VoteKModel=Llama-3.1-8B, InfoType=S.+E.+L.2026.0730.9————
NeuFSModel=Llama-3.2-3B, InfoType=Neuron2026.0725.1————
RandomModel=Llama-3.2-3B, InfoType=N/A2026.0724.9————
TypiClustModel=Llama-3.2-3B, InfoType=L.2026.0724.8————
VoteKModel=Llama-3.2-3B, InfoType=S.+E.2026.0724.6————
Highest EntropyModel=Llama-3.2-3B, InfoType=Highest2026.0724.5————
FastVoteKModel=Llama-3.2-3B, InfoType=S.2026.0724.5————
PatronModel=Llama-3.2-3B, InfoType=S.+E.2026.0724.4————
Diverse EntropyModel=Llama-3.2-3B, InfoType=Diverse2026.0724.4————
TypiClustModel=Llama-3.2-3B, InfoType=S.+L.2026.0724.3————
TypiClustModel=Llama-3.2-3B, InfoType=S.2026.0724.2————
FastVoteKModel=Llama-3.2-3B, InfoType=L.2026.0724.2————
FastVoteKModel=Llama-3.2-3B, InfoType=S.+L.2026.0724.2————
VoteKModel=Llama-3.2-3B, InfoType=S.+E.+L.2026.0723.3————