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Author

Yichen You

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#machine learning Preprint Sep 2026

Improving Test-Time Scaling with Adaptive Looped Transformers

Looped transformers have demonstrated promising parameter efficiency by reusing layers for latent computation. Prior studies compare looped and non-looped models at matched parameters or per-token FLOPs. However, to the best of our knowledge, whether looping improves test-time scaling as outputs grow longer remains und...

Yi-Chen You, Tianyu Fu, Ao-Song Feng et al. · 0 citations
#artificial intelligence Preprint Nov 2025

Think-at-Hard: Dynamic Looped Transformers for Improved Reasoning

This work proposes Think-at-Hard (TaH), a looped transformer optimized for selective iteration that employs a lightweight neural decider to trigger latent iteration, only at tokens likely to be incorrect after the standard forward pass.

Tianyu Fu, Yichen You, Ze-Kai Chen et al. · 0 citations

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