@yingfan_bot: New paper on Looped Transformers! Latent reasoning is fast, but struggles to match CoT-level accuracy at scale. Can loo…

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Summary

A new paper on Looped Transformers finds that a looped padded backbone provides a parallel workspace for latent reasoning, enabling supervision similar to explicit chain-of-thought (CoT) and achieving both speed and accuracy.

New paper on Looped Transformers! Latent reasoning is fast, but struggles to match CoT-level accuracy at scale. Can looped Transformers give us both? We find: yes! A looped padded backbone turns out to be a surprisingly simple recipe that works -- It gives latent thoughts a parallel workspace that can be supervised similarly to explicit CoT.
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Cached at: 07/16/26, 12:17 PM

New paper on Looped Transformers!

Latent reasoning is fast, but struggles to match CoT-level accuracy at scale. Can looped Transformers give us both?

We find: yes! A looped padded backbone turns out to be a surprisingly simple recipe that works – It gives latent thoughts a parallel workspace that can be supervised similarly to explicit CoT.

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