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Merge++: Universal Merge Refinement Through Data-Free Checkpoint Inversion

Pola, Aditya et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Model merging consolidates fine-tuned experts into one multi-task model without retraining. All existing data-free methods approach this problem entirely in weight space. Restricted to arithmetic on parameters, these methods never observe how each expert behaves, a signal that only emerges through f
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