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扩散草稿树的秩感知投机采样 RASS 提出
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2026年10月5日,arXiv 机器学习理论方向的一手报道显示,研究者提出 Rank-Aware Speculative Sampling(RASS),一种用于扩散模型投机草稿树的验证规则。该方法按候选在 proposal-target 平均位移上的排序采样秩权重,并以残差修正保证精确采样。目前报道仅给出方法定义,未披露实验数据、代码或后续验证进展。
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Oct 5, 2026
- arXiv · Machine Learning Theory扩散草稿树的秩感知投机采样 RASS
研究者提出 Rank-Aware Speculative Sampling(RASS),一种用于扩散模型投机草稿树的验证规则,按候选在 proposal-target 平均位移上的排序采样秩权重,并以残差修正保证精确采样。
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