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News/Why Speculative Decoding Works Better Than Predicted on Sparse MoE Models
arxiv
PublishedOctober 31, 2026 at 4:00 AM

Why Speculative Decoding Works Better Than Predicted on Sparse MoE Models

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arXiv:2610.38981v1 Announce Type: cross Abstract: Speculative decoding (SD) accelerates autoregressive inference by leveraging the memory bound nature of decoding, verifying multiple draft tokens in a single forward pass. For mixture-of-experts (MoE) models, prior work predicts a concave speedup-bat

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