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Acceptance Is Not Speed: Length Inflation in Training-Free Lossy Speculative Decoding

Paper recorded by Signals 4 on 2026-10-16 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-16 on arXiv · recorded by Signals 4 on 2026-10-19

Category: cs.CL · 自然语言处理 · first seen 2026-10-19

Abstract

Speculative decoding typically characterizes speedup by draft tokens accepted per verification round. Lossless verification preserves the target model's output distribution and thus expected completion length, making this metric a meaningful efficiency proxy. Relaxed (lossy) verification accepts tokens that lossless verification would reject, potentially altering that distribution. We identify a l

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#218 most recent of 660 cs.CL papers we have recorded · ↑ newer: DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses · ↓ older: Steering beyond Language: Improving Multilingual Training-Free Text Em
Cite this page: Acceptance Is Not Speed: Length Inflation in Training-Free Lossy Speculative Decoding: the #218 most recent of 660 cs.CL papers we have recorded (as of 2026-10-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/acceptance-is-not-speed-length-inflation-in-training-free-lossy-speculative-deco.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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