Unverified50% confidenceTradeoffExact time
JEPA 若只在抽象空间中预测却无法解码回可操作的具体状态或观测，其在规划和控制中的价值会大打折扣
1
Sources
50%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
UnverifiedRepresentation collapse is the most notorious failure mode of JEPA architectures, where the encoder learns to output constant embeddings independent of the input, reducing prediction loss while making the representations entirely uninformative.69% similarVerifiedIrrelevant information occupying context space (context pollution) can significantly degrade the model's performance on core tasks.65% similarUnverifiedA reasonable prediction loss combined with 0% downstream control accuracy is highly consistent with representation collapse, meaning the encoder has fooled the self-supervised objective without learning any useful dynamic information.64% similarUnverifiedFSM约束通过logit masking将不合法的下一个token概率强制置为零，但将复杂Schema编译为有限状态机会带来编译耗时和内存占用上升的代价64% similarUnverified在代码生成Prompt中，否定性约束（说明不需要什么）能缩小模型搜索空间，比增加期望描述更能提高准确率64% similar
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