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Scaling Latent Reasoning via Looped Language Models

arXiv — cs.CL•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

Scaling Latent Reasoning via Looped Language Models

A new development in language models has emerged with the introduction of Ouro, a family of pre-trained Looped Language Models (LoopLM). Unlike traditional models that rely heavily on post-training reasoning, Ouro integrates reasoning into the pre-training phase. This innovative approach utilizes iterative computation in latent space and entropy regularization, enhancing the model's ability to think and reason effectively. This advancement is significant as it could lead to more efficient and capable AI systems, making them better at understanding and generating human-like text.
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