Think-at-Hard: Dynamic Looped Transformers for Improved Reasoning
Uses dynamic looping to vary internal depth with problem difficulty and studies the resulting reasoning and efficiency trade-offs.
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arXiv:2511.08577 · Initial submission: 2025-11-11
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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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