Model Merging: Foundations and Algorithms

arXiv:2605.01580v1 Announce Type: cross Abstract: Modern deep learning usually treats models as separate artifacts: trained independently, specialized for particular purposes, and replaced when improved versions appear. This thesis studies model merging as an alternative paradigm: combining...