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ReAnchor: Reusing Rejected Verifier States for Diffusion Drafting

Sanghyun Lee, Wonjin Nam, Seungho Jang, Jaeho Lee, Jiho Park, Jaewoon Lee, Seungryong Kim · 2026 · arXiv

DOI: 10.48550/arXiv.2610.26531 · open-access PDF

Chinese

区块扩散草图器通过在单个前进通道中生成多个草图代币来加速投机解码,但是,每个草图从单个目标生成的子中只产生一个固定长度的块,限制草图可以扩展到多远。与此同时,目标验证计算隐藏的状态,即使在第一个拒绝之外的位置,但这些状态通常被抛弃而不是重复使用。

Machine translation (Meta M2M100); the English original follows.

Abstract

Block diffusion drafters accelerate speculative decoding by generating multiple draft tokens in a single forward pass. However, each pass produces only a fixed-length block from a single target-generated anchor, limiting how far the draft can extend. Meanwhile, target verification computes hidden states even at positions beyond the first rejection, but these states are typically discarded rather than reused. We propose ReAnchor, a training-free method that reanchors a pretrained drafter at shifted positions using discarded verifier states to generate parallel draft blocks. These blocks improve

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