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30 JUL 2026 · Paper

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

This paper develops a method to scale up language models by increasing their memory capacity, allowing for better performance and more efficient use of parameters. Practitioners may care about this research as it could lead to more powerful and efficient language models for applications like language translation and text generation.

long-term memory language models memory capacity parameter scaling continual learning

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