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Data-Aware Model Merging in the Essential Subspace for Multi-Task Knowledge Aggregation.

arXiv:2606.19164v4 Announce Type: replace-cross Abstract: Model merging enables training-free multi-task learning by aggregating knowledge from models fine-tuned from a shared checkpoint, but their task updates can interfere. Using proxy data, we find that tas

arXiv cs.AIResearch source·