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ResearchFormerly WizWand

Forecasting aggregation on BayesX M=4 models

0.64KLDRouteLLM
-1.79214.62431.0447.456Jul 5, 2026
Updated 3mo ago

Evaluation results

MethodLinks
RouteLLMContextual Information Availability=With context, Model Homogeneity=Gemma22026.070.643.75100-2.31
StackedGenContextual Information Availability=With context, Model Homogeneity=Gemma22026.071.276.45100-1.69
WALLA IContextual Information Availability=Not Used, Model Homogeneity=Gemma22026.072.228.69100-0.74
WALLA IIContextual Information Availability=Not Used, Model Homogeneity=Gemma22026.072.228.68100-0.74
PackLLMContextual Information Availability=Not Used, Model Homogeneity=Gemma22026.0721.5830.710016.66
NIRTRouterContextual Information Availability=With context, Model Homogeneity=Gemma22026.0722.4930.7252.1117.11
RouterDCContextual Information Availability=With context, Model Homogeneity=Gemma22026.0722.883065.5516.77
UniformAvgContextual Information Availability=Not Used, Model Homogeneity=Gemma22026.0725.6432.96—19.65
RouteLLMContextual Information Availability=Without context, Model Homogeneity=Gemma22026.0725.6732.9652.0819.66
SelfCertaintyContextual Information Availability=Not Used, Model Homogeneity=Gemma22026.0761.4443.992537.37