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Commonsense Reasoning on Commonsense-15K (test)

36.11ARC-Challenge AccuracyUB-SMoE
7.582814.988922.39529.8011May 15, 2026

Evaluation results

MethodLinks
UB-SMoEBackbone=OLMoE-1B-7B, Method Category=Heterogeneous sparsity methods, Computation Budget=Averaged over all budgets2026.0536.1150.1749.5222.5840.351.1844.8646.6542.67
A3SMoEBackbone=OLMoE-1B-7B, Method Category=Heterogeneous sparsity methods, Computation Budget=Averaged over all budgets2026.0533.4747.2443.0124.4839.2542.1941.9337.3338.61
SMoE-LLBBackbone=OLMoE-1B-7B, Method Category=Heterogeneous sparsity methods, Computation Budget=Averaged over all budgets2026.0530.842.1351.2220.9633.642.4438.0144.137.91
FlexLoRABackbone=OLMoE-1B-7B, Method Category=Heterogeneous LoRA-rank methods, Computation Budget=Averaged over all budgets2026.0530.1241.3645.7316.0732.2533.2730.9934.4533.03
HetLoRABackbone=OLMoE-1B-7B, Method Category=Heterogeneous LoRA-rank methods, Computation Budget=Averaged over all budgets2026.0512.8415.8237.097.141222.7814.5227.718.74
FLoRISTBackbone=OLMoE-1B-7B, Method Category=Heterogeneous LoRA-rank methods, Computation Budget=Averaged over all budgets2026.059.610.9734.076.0513.823.198.1412.5714.8
FLoRABackbone=OLMoE-1B-7B, Method Category=Heterogeneous LoRA-rank methods, Computation Budget=Averaged over all budgets2026.058.6810.0434.726.7411.622.858.8517.8615.17