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News/Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts
arxiv
PublishedSeptember 11, 2026 at 4:00 AM
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Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts

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arXiv:2609.09241v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) architectures have emerged as a powerful paradigm for scaling model capacity while preserving efficient inference in large foundation models. However, most MoE models use a fixed top-$k$ expert selection policy, assigning the

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