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Shaping Latent Mixture-of-Experts: From Expert Geometry to Layerwise Capacity Allocation
Fine-grained mixture-of-experts (MoE) models commonly increase expert count by narrowing each expert, treating expert shape as a by-product of routing granularity. LatentMoE moves expert computation into a lower-dimensional space, exposing the input dimension and intermediate width of each expert as
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