arxiv
PublishedAugust 28, 2026 at 4:00 AM
—neutral
Meta-Learning Where to Allocate Experts: Task-Conditioned Layer-Wise Compression for MoEs
Publisher summary· verbatim
arXiv:2608.26650v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) models route each token to a subset of expert networks, increasing capacity while keeping per-token computation sparse. In many deployed MoEs, the number of active experts is fixed across layers and tasks, although layer roles
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Originally published on arxiv ↗