---
title: "Who cites Can Transformers Learn to Solve — 12 citing papers"
description: "12 papers of the Elamur Research library cite «Can Transformers Learn to Solve Problems Recursively?», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/zhang-2023-transformers-learn-solve-problems-recursively/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhang-2023-transformers-learn-solve-problems-recursively/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Can Transformers Learn to Solve Problems…](https://md.research.elamur.ai/free/en/papers/zhang-2023-transformers-learn-solve-problems-recursively/) / cited by

# Who cites «Can Transformers Learn to Solve Problems Recursively?»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Can Transformers Learn to Solve Problems Recursively?»](https://md.research.elamur.ai/free/en/papers/zhang-2023-transformers-learn-solve-problems-recursively/)

1. [**Llemma: An Open Language Model For Mathematics arXiv:2310.10631**Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.*2023 · 286 citations*](https://md.research.elamur.ai/free/en/papers/azerbayev-2023-llemma-open-language-model-mathematics/)
2. [**CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution arXiv:2401.03065**Alex Gu, Baptiste Rozière, Hugh Leather, et al.*2024 · 122 citations*](https://md.research.elamur.ai/free/en/papers/gu-2024-cruxeval-benchmark-code-reasoning-understanding/)
3. [**What Algorithms can Transformers Learn? A Study in Length Generalization arXiv:2310.16028**Hattie Zhou, Arwen Bradley, Etai Littwin, et al.*2023 · 67 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-algorithms-transformers-learn-study-length/)
4. [**Physics of Language Models: Part 1, Learning Hierarchical Language Structures arXiv:2305.13673**Zeyuan Allen-Zhu, Yuanzhi Li*2023 · 42 citations*](https://md.research.elamur.ai/free/en/papers/allen-zhu-2023-physics-language-models-part-1/)
5. **[BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/tang-2023-biocoder-benchmark-bioinformatics-code-generation/) [Bioinformatics](https://md.research.elamur.ai/free/en/venues/bioinformatics/)**Xiangru Tang, Bill Qian, Rick Gao, et al.*2023 · 38 citations*

7 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2023-transformers-learn-solve-problems-recursively/) — Can Transformers Learn to Solve Problems Recursively?