AINeutralarXiv – CS AI · 15h ago6/10
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Model Merging on Loss Landscape: A Geometry Perspective
Researchers introduce EpiMer, a novel framework for merging machine learning models by treating it as a geometric optimization problem on Riemannian manifolds. The method uses low-rank task vectors and curvature information to improve knowledge integration without retraining, demonstrating superior performance when merging fine-tuned CLIP-ViT models across multiple image classification tasks.