Author

Wen-Bin Li

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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 Preprint Aug 2026

Harness Continual Learning: Continual Adaptation Beyond Model Parameters

Harness Continual Learning is formulated, a new continual learning paradigm in which the harness evolves around a frozen foundation model, and the resulting loss of earlier behavior as harness-level forgetting is defined.

Borui Kang, Jinrui Gu, Junhan Lv et al. · 0 citations