Author

Peilong Zhou

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#machine learning Preprint Oct 2026

Learning to Compute Is Not Learning to Retain or Reuse in Looped Transformers

Looped transformers compute by applying one block repeatedly, so they can run for more loops than they were trained with. Recurrent reasoners are known to overthink: iterating past the trained depth can turn a correct answer into a wrong one. Such a late error can reflect failed computation, loss of retention, or a sta...

Pei-Long Zhou, Hong-Tao Zhang, Yu-Long Huang et al. · 0 citations

Jul 2026

CLOSER-Bench: Evaluating Budgeted Cross-Stage Design Closure for Hardware Agents

CLOSER-Bench is introduced, a controlled evaluation protocol for budgeted cross-stage design closure and a ten-task pilot spanning RTL repair, mutation-based verification, coverage, PPA optimization, design-space exploration, cross-model debugging, and security establishes the executable harness.

Peilong Zhou, Zhirong Chen, Cangyuan Li et al. · arXiv.org · 0 citations