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Model Merging on Large-scale tasks 16 tasks merged
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91.5
Average Normalized Accuracy
DOGE AM
59.26
67.63
76
84.37
Aug 5, 2025
Average Normalized Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Average Normalized Accuracy
DOGE AM
Backbone=ViT-B/16, Met...
2025.08
91.5
RegMean++
Backbone=ViT-B/16, Met...
2025.08
89.6
RegMean
Backbone=ViT-B/16, Met...
2025.08
88.9
Layer-wise AdaMerging
Backbone=ViT-B/16, Met...
2025.08
88.8
TSV-M
Backbone=ViT-B/16, Met...
2025.08
88.7
Iso-CTS
Backbone=ViT-B/16, Met...
2025.08
88.6
Iso-C
Backbone=ViT-B/16, Met...
2025.08
84.8
DOGE TA
Backbone=ViT-B/16, Met...
2025.08
82.1
Fisher Merging
Backbone=ViT-B/16, Met...
2025.08
80.3
Model Soups
Backbone=ViT-B/16, Met...
2025.08
78
TIES-Merging
Backbone=ViT-B/16, Met...
2025.08
76.6
Task Arithmetic
Backbone=ViT-B/16, Met...
2025.08
60.5
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