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News/It Takes a MAESTRO To Prune Bad Experts
arxiv
PublishedJuly 11, 2026 at 4:00 AM
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It Takes a MAESTRO To Prune Bad Experts

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arXiv:2607.08601v1 Announce Type: new Abstract: Sparsely-activated Mixture-of-Experts (MoE) language models achieve remarkable inference efficiency by activating only a small fraction of parameters per token, yet their full expert banks reside in memory at all times, creating a prohibitive deploymen

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