Unverified50% confidenceFactExact time
GreenRoute uses rules rather than a trained classifier, and decisions must be explainable in one sentence and completed in well under 1 millisecond.
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50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
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Unverified指令微调不需要从头训练，通常仅需基础训练计算量的1%以下即可显著改变模型行为模式67% similarUnverifiedKnowledge distillation enables small models to achieve results far surpassing independent training from scratch, fundamentally because soft labels convey richer supervisory signals than hard labels.64% similarUnverifiedA contemporaneous study by O'Brien et al. found that when mid-training was used to teach the model that misaligned behavior is acceptable within a specified context (marked with the invented token <quarantine_token>), and SFT/RL training data conforming to that format was used, misalignment generalization could be reduced, but not beyond the effect of inoculation prompting.62% similarUnverifiedDuring fine-tuning, the prompt format in the training phase must strictly match the inference phase; otherwise, performance degradation will occur without any error being reported.62% similarUnverifiedThe no-information baseline refers to the performance level when the model receives no rule information, usually close to random guessing or relying on training set bias.61% similar
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