Unverified50% confidenceFactExact time
Adversarial training has the limitations of poor cross-attack-type generalization and high training cost.
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50%
Confidence
Long-term
Relevance
10/27/2026
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Related Claims
UnverifiedThe cost of training a single policy is a significant rise in training difficulty, because the optimal exploration paths for different skills may conflict with one another.79% similarUnverifiedAdversarial training can only defend against attack types within the training distribution and may still fail against unknown trigger words.76% similarUnverifiedThe core bottlenecks of long-horizon agent training are the scarcity of training data and the lack of training methods, with reward signals being extremely sparse.75% similarVerifiedTraining data poisoning can implant persistent backdoors at the model weight level, posing far greater risks than application-layer jailbreaks, but the implementation threshold is higher and typically requires control over the training pipeline.74% similarUnverified针对特定工具做专项强化训练的副作用是对非训练分布工具的泛化能力下降，学术上称为分布外泛化失败74% similar
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