Unverified50% confidenceCautionExact time
SpecCTMC relies on the quality of model predictions to generate proposals with high acceptance rates; if model predictions are uncertain, acceptance rates may drop and the speedup may diminish.
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11/6/2026
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UnverifiedThe cascading fallback mechanism automatically escalates requests to a more powerful model when the smaller model's output confidence falls below a preset threshold or is judged substandard by a quality evaluation model.76% similarVerifiedDenser relevance judgments reduce the probability that correct results retrieved by a model are mistakenly judged as irrelevant, thereby improving evaluation reliability.73% similarUnverifiedMPC的主要局限在于对模型精度的高度依赖，当真实环境与模型假设出现偏差时控制效果会显著下降72% similarUnverifiedThe more independent requirements included in a single prompt, the more the probability of the model omitting or incorrectly implementing certain requirements grows non-linearly; the MVP strategy improves reliability by narrowing the model's decision space.72% similarUnverifiedThe lightweight model's selection accuracy is unknown; if the System One model is often uncertain, the frequency of falling back to the standard model will rise, and the speed advantage may be weakened.71% similar
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