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From Parameter Rebasin to Functional Transfer Across Heterogeneous Transformers
Adapting pretrained Transformers to downstream tasks produces task-specific updates that are expensive to reproduce for every model variant. Reusing these updates across different depths and widths is challenging because their parameters have incompatible shapes and do not share a canonical coordina
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