Author

Yuehan Yin

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#machine learning Preprint Aug 2026

When Muon Meets Task Interference: A Spectral Perspective on Continual Learning and Model Merging

This work reveals that the recent Muon optimizer as a mechanism that regulates this factor by construction tightens the interference bound for both CL and MM, positioning Muon as a principled optimizer-centric approach complementary to existing solutions.

Shan Liu, Yuehan Yin, Yinghuan Shi et al. · 0 citations

#artificial intelligence Apr 2026

Understanding and Enforcing Weight Disentanglement in Task Arithmetic

This paper first proves that TFS is a sufficient condition for weight disentanglement, and finds that TFS also gives rise to an observable geometric consequence: weight vector orthogonality, which positions TFS as the common cause for both the desired functional outcome and a measurable geometric property.

Shan Liu, Yuehan Yin, Lei Wang et al. · arXiv.org · 3 citations