Unverified50% confidenceBenchmarkExact time
By annealing the power parameter from zero to one, TVP achieves the highest or tied-highest acceptance length across three draft model architectures and three target models.
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Long-term
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11/3/2026
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Related Claims
UnverifiedIn 34 of the 36 model-benchmark settings, high-TVS items outperformed low-TVS items at the end of pretraining, with an average advantage of 7.3 percentage points in opportunity-normalized accuracy.65% similarUnverifiedThe Top3 configuration, which uses the fewest metrics, achieved the highest average performance, indicating that fewer metrics actually yield higher performance under this experimental setting.62% similarUnverifiedGPT-3 reached a parameter scale of hundreds of billions (175 billion parameters) and demonstrated few-shot and zero-shot capabilities.61% similarUnverifiedOn a proprietary dataset, starting from about 3B parameters, the gain brought by fine-tuning is the clearest.59% similarUnverifiedStrata uses the model's built-in multi-token prediction layer for speculative decoding, drafting up to 3 tokens at a time and producing an average of 2.4 to 3.2 tokens per pass, with the output results unchanged.59% similar
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