Simply Stabilizing the Loop via Fully Looped Transformer

In three linesFully Looped Transformer addresses training instability in looped models by reusing Transformer blocks. Two parameter-free modifications: inter-loop signal distribution and attention injection. Stable up to 12 iterations, improves downstream performance by 13.2%, and enables adjustable inference-time compute via loop iteration control.

Summary generated by Claude — human-verified