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School of Mathematical Sciences, Zhejiang University, Hangzhou, China
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Muon-inspired optimizers can provably converge linearly even in non-smooth settings, expanding their applicability beyond the smooth landscapes typically assumed.
Forget bolting vision onto language models – truly powerful multimodal AI demands rethinking architectures from the ground up.
