The author proposes MuDSC as a solution to the inconsistency of unit similarity in weight and activation spaces, enhancing model merging performance across various tasks and architectures.
ZipIt! introduces a novel method for merging models trained on different tasks without retraining, outperforming prior work significantly.
ZipIt! introduces a novel method for merging models trained on different tasks without retraining, outperforming prior work significantly.