Unverified50% confidenceFactExact time
OrderGPT explores the generation order early in training and freezes the learned order later for subsequent autoregressive training and generation.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedTemporal randomization during training allows the policy to learn from asynchronous, multi-frequency data without needing to align all measurements to a fixed time grid.69% similarUnverified实验表明按由易到难顺序喂给模型训练样本能加速收敛并学到更鲁棒的特征表示，性能优于随机打乱顺序的训练68% similarUnverifiedTraining from scratch means not using any pretrained weights, but instead completing the full training process on a new dataset with randomly initialized parameters.67% similarUnverifiedThe action probe draws on the linear probing method from the self-supervised learning field, whose basic idea is to freeze the model backbone representation and train only a lightweight classifier or regressor on top of it, attempting to recover the target information from the frozen features.67% similarUnverifiedTransductive learning does not attempt to build a general model but directly infers from known training samples to specific test samples; inductive learning extracts generalizable rules from training samples.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1073872API
curl https://kongchang.com/api/v1/knowledge/claims/1073872MCP
get_claim(id=1073872)