2026
LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation
ICLR 2026poster
Looped Transformers have emerged as an efficient and powerful class of models for reasoning in the language domain. Recent studies show that these models achieve strong performance on algorithmic and reasoning tasks, suggesting that looped architectures possess an inductive bias toward latent reason…