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Science Knowledge on SciQ

90.9AccuracySYNPRO
82.26884.50986.7588.991Mar 10, 2026Mar 21, 2026Apr 2, 2026Apr 13, 2026Apr 25, 2026May 6, 2026May 18, 2026

Evaluation results

MethodLinks
SYNPROModel Size=1.1B, Alpha (organic token ratio)=10%2026.0590.9———
VGLR-MFMoE Architecture=Granite-MoE, Category=Ours2026.0388.40.2971.938.7
VGLR-FCMoE Architecture=Granite-MoE, Category=Ours2026.0388.40.2981.332
MCDRMoE Architecture=Granite-MoE, Category=Weight2026.03880.2962.936.6
SWAGMoE Architecture=Granite-MoE, Category=Weight2026.0387.90.2913.139.2
Temp-ScaleMoE Architecture=Granite-MoE, Category=Base2026.0387.80.3094.764.9
Temp-ScaleMoE Architecture=Qwen-MoE, Category=Base2026.0387.61.12311.166.9
VTSRMoE Architecture=Granite-MoE, Category=Ours2026.0387.40.2992.235.2
MAPMoE Architecture=Qwen-MoE, Category=Base2026.0387.21.3227.464.8
VTSRMoE Architecture=Qwen-MoE, Category=Ours2026.03870.659443
VGLR-MFMoE Architecture=Qwen-MoE, Category=Ours2026.0386.20.6749.544.3
VGLR-FCMoE Architecture=Qwen-MoE, Category=Ours2026.0385.80.6682.333.9
MCDRMoE Architecture=Qwen-MoE, Category=Weight2026.0385.40.88419.958.6
MAPMoE Architecture=Granite-MoE, Category=Base2026.03850.79122.345.2
VGLR-FCMoE Architecture=DeepSeek-MoE, Category=Ours2026.03840.2921.622
VGLR-MFMoE Architecture=DeepSeek-MoE, Category=Ours2026.0383.80.2979.548.4
MAPMoE Architecture=DeepSeek-MoE, Category=Base2026.0383.21.12427.989.8
VTSRMoE Architecture=DeepSeek-MoE, Category=Ours2026.03830.2914.736
SWAGMoE Architecture=Qwen-MoE, Category=Weight2026.0382.90.87520.351.1
Temp-ScaleMoE Architecture=DeepSeek-MoE, Category=Base2026.0382.80.64212.151.1
SWAGMoE Architecture=DeepSeek-MoE, Category=Weight2026.0382.80.29821.259.2
MCDRMoE Architecture=DeepSeek-MoE, Category=Weight2026.0382.60.29620.464.8