LLMs Need "Sleep" to Consolidate Memory
behrouz_ali · x · 2026-07-14
This work proposes that LLMs might require a "sleep"-like phase: without new data input, the model first consolidates fragile short-term memories into more stable long-term memories, and then recursively self-improves through a "dreaming" process.
The authors introduce a new form of distillation called Knowledge Seeding (KS), where a smaller model distills knowledge into a larger one. Experiments show that this phase improves performance in continuous learning and reasoning tasks, while partially mitigating catastrophic forgetting.
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