Unverified50% confidenceSolutionExact time
SIRS leverages the conditional distributions of all remaining tokens in the block returned by the model's forward pass to Rao-Blackwellize the increment, reducing the estimation variance without requiring extra queries.
1
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50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
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Related Claims
UnverifiedRao-Blackwellization is a variance reduction technique that replaces the original estimator with the conditional expectation of an auxiliary variable given a sufficient statistic, reducing variance without introducing bias.69% similarUnverifiedSIRS's sampling error bound shows that the extra bias introduced by the sampling algorithm depends only on the clipping range and does not grow uncontrollably with the block size or the degree of parallelism.64% similarUnverified投机解码通过小模型预测候选Token、大模型批量验证提升吞吐量；量化技术将权重从FP16压缩至INT8/INT4降低显存占用；MoE架构通过稀疏激活降低单次推理计算量63% similarUnverifiedThe reproduction effort employs a scaled validation method, verifying the trends and relative relationships claimed in papers under smaller datasets, fewer training epochs, or lower model parameter counts.61% similarUnverifiedSIRS provides an error bound: the KL divergence between the data distribution and the SIRS output distribution is bounded by a clipping term plus the model's training error.61% similar
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