LooM: Loop-Invariant Memory for Causal Encoder-Decoder Language Models
Reuses a fixed memory bank while decoder layers repeat their reads. Each token writes its local cache once, allowing different recurrent-depth budgets without increasing the stored cache size.
First public: · Added to this list: November 9, 2026
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Recurrent reasoning — Repeat parts of the model or keep intermediate information in memory while working through a problem. Some methods also learn how many passes to run.