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Settle: Learning When to Stop Reasoning

Brown, Ryan et al.
arXiv (All) · Papers
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computation-and-language
Reasoning models often continue generating after their answers have settled. Settle learns when to stop from answer stability in completed traces. It trains the existing end-of-reasoning token while keeping other predictions close to the base model, and requires only ordinary decoding at inference.
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