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ResearchFormerly WizWand

Continual Model Merging on sequence 8-task

94.3AccuracyFine-Tuned
46.25258.72671.283.674Apr 24, 2026
Updated 6mo ago

Evaluation results

MethodLinks
Fine-TunedBackbone=ViT-L/142026.0494.3—
MADE-ITBackbone=ViT-L/142026.0493.1-0.6
Fine-TunedBackbone=ViT-B/162026.0492.4—
MINGLEBackbone=ViT-L/142026.0491.8-0.6
Fine-TunedBackbone=ViT-B/322026.0490.4—
MADE-ITBackbone=ViT-B/162026.0490.4-1.2
Continual Fine-TunedBackbone=ViT-L/142026.0490—
MINGLEBackbone=ViT-B/162026.0488.3-0.4
MADE-ITBackbone=ViT-B/322026.0487.1-2.2
OPCMBackbone=ViT-L/142026.0487-2.6
MINGLEBackbone=ViT-B/322026.0485.8-0.6
Continual Fine-TunedBackbone=ViT-B/162026.0482.9—
Continual Task ArithmeticBackbone=ViT-L/142026.0482.1-7.1
OPCMBackbone=ViT-B/162026.0481.8-4.8
Average (SWA)Backbone=ViT-L/142026.0480-7.3
Continual Fine-TunedBackbone=ViT-B/322026.0479.8—
Continual Task ArithmeticBackbone=ViT-B/162026.0477.1-4.2
Continual LoRA-WEMoEBackbone=ViT-L/142026.0475.6-17.8
OPCMBackbone=ViT-B/322026.0475.5-6.3
Continual LoRA-WEMoEBackbone=ViT-B/162026.0472.6-18
Average (SWA)Backbone=ViT-B/162026.0472.3-9.7
Continual LoRA-WEMoEBackbone=ViT-B/322026.0468.8-20.4
Continual LW AdaMergingBackbone=ViT-L/142026.0468.8-24.3
Continual Task ArithmeticBackbone=ViT-B/322026.0467.5-9.6
Continual Ties-MergingBackbone=ViT-B/162026.0466.8-5.5
Average (SWA)Backbone=ViT-B/322026.0466.3-11.5
Pre-TrainedBackbone=ViT-L/142026.0464.9—
Continual Ties-MergingBackbone=ViT-L/142026.0464.3-13
Continual LW AdaMergingBackbone=ViT-B/162026.0459.9-27.8
Pre-TrainedBackbone=ViT-B/162026.0455.4—
Continual LW AdaMergingBackbone=ViT-B/322026.0453.4-32.5
Continual Ties-MergingBackbone=ViT-B/322026.0449-15.3
Pre-TrainedBackbone=ViT-B/322026.0448.1—