# Looped Transformers are Better at Learning Learning Algorithms

Authors: Liu Yang, Kangwook Lee, Robert Nowak, Dimitris Papailiopoulos.

Shows how looped transformer depth can support learning iterative algorithms.

First public: 2023-11-21.
ArXiv initial submission: 2023-11-21.

[Original paper](https://arxiv.org/abs/2311.12424) · [Reading-list entry](https://latent-implicit-thinking.github.io/papers/2311.12424/)
[Preprint BibTeX](https://latent-implicit-thinking.github.io/papers/2311.12424/citation.bib) · [Preprint CSL-JSON](https://latent-implicit-thinking.github.io/papers/2311.12424/citation.csl.json) · [JSON record](https://latent-implicit-thinking.github.io/papers/2311.12424/record.json)

Summary and categories are editorial. Read the original paper to verify claims and limitations. A citation to a paper does not, by itself, establish that a later method builds on it.

Reading-list version 0.9.5; literature checked through 2026-10-18.