Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers
Stabilizes repeated transformer layers and stops looping when the hidden state converges, allowing the model to spend different amounts of computation on different problems.
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arXiv:2606.18206 · Initial submission: 2026-06-16
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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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