Recurrent Looped Transformer

arXiv:2610.07591 · cs.CL, cs.AI, cs.LG · Submitted 2026-10-06 · Read on arXiv

cs.CL, cs.AI, cs.LG

Submitted: 2026-10-06

Updated: 2026-10-11

Comments: Project Page: https://github.com/yifanzhang-pro/recurrent-looped-tranformer

Code: https://github.com/yifanzhang-pro/recurrent-looped-tranformer

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Recurrent Memory Transformer
• T^2MLR: Transformer with Temporal Middle-Layer Recurrence
• The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
• Universal Transformers
• Addressing Some Limitations of Transformers with Feedback Memory
• Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
• Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
• Training Large Language Models to Reason in a Continuous Latent Space
• Latent Recurrent Transformer: Architecture Exploration, Training Strategies, and Scaling Behavior
• Block-Recurrent Transformers
• DeepLoop: Depth Scaling for Looped Transformers
• The Recurrent Transformer: Greater Effective Depth and Efficient Decoding
• Reasoning with Latent Thoughts: On the Power of Looped Transformers
• You Only Cache Once: Decoder-Decoder Architectures for Language Models
• Full-bandwidth transformer
• PonderLM-2: Pretraining LLM with Latent Thoughts in Continuous Space

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