arxiv
PublishedJuly 16, 2026 at 4:00 AM
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Less Experts, Faster Decoding: Cost-Aware Speculative Decoding for Mixture-of-Experts
Publisher summary· verbatim
arXiv:2607.12696v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) models have become an important approach for scaling Large Language Models (LLMs), but their inference efficiency depends strongly on expert activation patterns. Speculative decoding (SD) accelerates autoregressive gener
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Originally published on arxiv ↗