Unverified60% confidenceFactExact time
During LLM training, memorization occurs, where models may verbatim store fragments of training data and reproduce them during inference.
2
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60%
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Long-term
Relevance
8/26/2026
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VerifiedWhen a model's training data contains benchmark test questions or highly similar content, the model may achieve high scores through memorization rather than genuine understanding.79% similarUnverified潜在缓存技术将LLM推理中的KV Cache思想迁移至训练阶段，对轨迹历史帧预先提取潜在表示并缓存79% similarUnverifiedMachine learning models may overfit specific training samples and inadvertently reproduce details of the original data when generating content, a phenomenon known as training data memorization.79% similarUnverifiedWhen a model can reproduce specific passages from its training data verbatim (the 'memorization' phenomenon), the 'transformative use' defense faces challenges.79% similarUnverifiedMLP层充当模型的长期事实记忆库，其键值对是预训练阶段固化在权重中的静态参数79% similar
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