T²MLR: Transformer with Temporal Middle-Layer Recurrence
Carries a cached middle-layer state from one token position into an earlier layer at the next position, providing localized temporal recurrence that can also be retrofitted into pretrained transformers.
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arXiv:2607.15178 · Initial submission: 2026-07-16
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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.
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