Unverified50% confidenceOpinionExact time
Compared with extrapolation methods that require retraining, the training-free approach lowers the barrier to use and also avoids the risk of catastrophic forgetting.
1
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50%
Confidence
Long-term
Relevance
11/2/2026
First Seen
Sources
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Related Claims
UnverifiedIf the quality of the guidance source is poor (large δ), extended training will amplify the bias, in which case the guidance weight should be reduced or external guidance should be stopped altogether.79% similarVerifiedDuring the post-training phase, an excessively low loss may correspond to overfitting, where the model memorizes the training data and loses generalization ability.78% similarUnverifiedThe "hold batch until acknowledgment is received" mechanism resolves the backpressure problem between the training side and the serving side, preventing permanent data loss caused by training failures.77% similarUnverifiedFreezing the whole-body controller and training only the upper-layer planner can avoid the catastrophic forgetting common in end-to-end training.76% similar
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