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From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step Inference

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学术前沿 5.5 分 — Extends speculative decoding to multi-step verification, novel combination of spec decoding with verification
原文: cs.CL updates on arXiv.org

评分 5.5 · 来源:cs.CL updates on arXiv.org · 发布于 2026-04-17

评分依据:Extends speculative decoding to multi-step verification, novel combination of spec decoding with verification

arXiv:2604.15244v1 Announce Type: new Abstract: Speculative decoding (SD) accelerates large language model inference by allowing a lightweight draft model to propose outputs that a stronger target model verifies. However, its token-centric nature allows erroneous steps to propagate. Prior approaches mitigate this using external reward models, but incur additional latency, computational overhead, and limit generalizability. We propose SpecGuard, a verification-aware speculative decoding framework that performs step-level verification using only model-internal signals.