Unverified50% confidenceFactExact time
PFN amortizes Bayesian computation into a one-time pretraining process, requiring no explicit posterior sampling at deployment time.
1
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50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
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Related Claims
UnverifiedThe construction of the probe bank can be completed offline once before pre-training begins, and during training, crops are sampled directly according to the coordinates in the bank, introducing almost no additional online computational overhead.74% similarUnverifiedTraining from scratch means not using any pretrained weights, but instead completing the full training process on a new dataset with randomly initialized parameters.73% similarUnverifiedOn infilling tasks, Diffusion-LM outperforms continuous-relaxation-based methods such as COLD and DELOREAN on automatic evaluation metrics, and reaches the level of autoregressive models trained from scratch specifically for this purpose without requiring targeted training.69% similarUnverified通过RLHF、DPO等轻量级对齐技术可实现快速迭代，无需每次都从头预训练69% similar
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