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Not All Task Vectors Need Equal Rank: Energy-Proportional Allocation for Model Merging
Model merging aims to combine multiple fine-tuned models derived from a common pretrained model into a single multi-task model without additional joint training. Recent spectral merging methods improve over simple weight averaging by exploiting low-rank structures of task-specific updates, but they
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