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pro vyhledávání: '"Zhou, Luca"'
Autor:
Zhou, Luca, Solombrino, Daniele, Crisostomi, Donato, Bucarelli, Maria Sofia, Silvestri, Fabrizio, Rodolà, Emanuele
Model merging has recently emerged as a cost-efficient paradigm for multi-task learning. Among current approaches, task arithmetic stands out for its simplicity and effectiveness. In this paper, we motivate the effectiveness of task vectors by linkin
Externí odkaz:
http://arxiv.org/abs/2411.03055
