Author

Bowen Zhou

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Jul 2026

Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory

This work presents Memory Decoder at Scale, scaling memory models up to 6.9B parameters and pretraining them on 300B tokens, demonstrating that independently scaling pretrained memory offers a more parameter efficient path to improving language model performance.

Ru-Bin Wei, Jiaqi Cao, Jiarui Wang et al. · arXiv.org · 1 citation