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Conference Open access Sep 2026

MOBO: A Merging-Oriented Bi-Level Optimization Framework for Class Incremental Learning

MOBO is proposed, a Merging-Oriented Bi-Level Optimization framework that synergizes the optimization of the current task model with the performance of the final merged model, and effectively mitigates the performance loss caused by incompatible adapter integration.

Si-Yu Zhang, Wen Wang, Wen-Ju Sun et al. · 0 citations

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