# AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures

Authors: Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael K. Ng, Zhenguo Li, Zhaoqiang Liu.

Builds iterative algorithmic structure into transformer computation.

First public: 2024-02-21.
ArXiv initial submission: 2024-02-21.

[Original paper](https://arxiv.org/abs/2402.13572) · [Reading-list entry](https://latent-implicit-thinking.github.io/papers/2402.13572/)
[Preprint BibTeX](https://latent-implicit-thinking.github.io/papers/2402.13572/citation.bib) · [Preprint CSL-JSON](https://latent-implicit-thinking.github.io/papers/2402.13572/citation.csl.json) · [JSON record](https://latent-implicit-thinking.github.io/papers/2402.13572/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.