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Improving Test-Time Scaling with Adaptive Looped Transformers

Yichen You, Tianyu Fu, Aosong Feng, Xingtai Lv, Xuefei Ning, Ning Ding, Yu Wang

Trains an iteration controller to give extra transformer loops only to tokens whose predictions benefit from them. Compares reasoning accuracy as both output length and internal computation increase.

First public: · Added to this list: October 18, 2026

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arXiv:2609.35748 · Initial submission: 2026-09-28

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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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