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Xiangxiang Dai

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Follow the Latent Roadmap: Navigating Revocable Decoding for Diffusion LLMs with Anchor Tokens

This work proposes ASRD (Anchor Supervised Revocable Decoding), a training-free framework that operates within the embedding space and outperforms recent remasking baselines, achieving accuracy improvements of up to 6.4\% while accelerating inference throughput by up to 7.2$\times$.

Yizhen Yao, Qing-Lin Zhu, Runcong Zhao et al. · 0 citations

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