arxiv
PublishedOctober 3, 2026 at 4:00 AM
—neutral
MoRA: MoE Pruning via Router Bias Learning and Expert Approximation
Publisher summary· verbatim
arXiv:2610.00367v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) models enable parameter scaling with limited per-token computation by activating only a small subset of experts for each token, but deploying them still requires loading the complete expert pool into memory. Structured expert p
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Originally published on arxiv ↗