Unverified50% confidenceFactExact time
The token-probability scoring method significantly outperforms direct prompt-based classification, with particularly notable gains on the 8B model.
1
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50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
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Related Claims
UnverifiedFor multiple-choice questions, the logits over each option token can be normalized via softmax to obtain a probability distribution, where a highly concentrated distribution indicates the model is more confident in the answer65% similarUnverifiedThe 9B parameter scale is a medium size that strikes a balance between inference cost and capability, making it suitable for high-frequency decision-making scenarios65% similarUnverifiedThe prediction scaffold's results significantly outperform random guessing and beat two baseline comparisons: directly fine-tuned models and simple predictors based on behavioral observations from weaker models.63% similarUnverifiedA 9B model outperforms models with tens of billions or even hundreds of billions of parameters in terms of inference cost, deployment difficulty, and response speed, making it more suitable for high-frequency classification scenarios in production environments63% similarUnverifiedAdaptiveSpec's progressive marginal rule allows a draft token to be accepted when the ratio of the target model's probability on that draft token to its top-1 token probability exceeds a threshold, even if the two do not exactly match.63% similar
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