Author

Guohao Dai

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#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