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

51 upvotes · 30 JUL 2026 · Rubin Wei, Jiaqi Cao, Jiarui Wang et al.

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 memorylanguage modelsmemory capacityparameter scalingcontinual learning