---
title: "Who cites Linear algebra with transformers — 20 citing papers"
description: "20 papers of the Elamur Research library cite «Linear algebra with transformers», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/charton-2021-linear-algebra-transformers/cited-by/"
---
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# Who cites «Linear algebra with transformers»

20 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «Linear algebra with transformers»](https://md.research.elamur.ai/free/en/papers/charton-2021-linear-algebra-transformers/)

1. [**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/)
2. [**Teaching Arithmetic to Small Transformers arXiv:2307.03381**Nayoung Lee, Kartik Sreenivasan, Jason D. Lee, et al.*2023 · 57 citations*](https://md.research.elamur.ai/free/en/papers/lee-2023-teaching-arithmetic-small-transformers/)
3. [**Formal Mathematical Reasoning: A New Frontier in AI arXiv:2412.16075**Kaiyu Yang, Gabriel Poesia, Jingxuan He, et al.*2024 · 49 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-formal-mathematical-reasoning-new-frontier/)
4. [**Positional Description Matters for Transformers Arithmetic arXiv:2311.14737**Ruoqi Shen, Sébastien Bubeck, Ronen Eldan, et al.*2023 · 30 citations*](https://md.research.elamur.ai/free/en/papers/shen-2023-positional-description-matters-transformers-arithmetic/)
5. [**Length Generalization in Arithmetic Transformers arXiv:2306.15400**Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, et al.*2023 · 29 citations*](https://md.research.elamur.ai/free/en/papers/jelassi-2023-length-generalization-arithmetic-transformers/)
6. [**Deep Symbolic Regression for Recurrent Sequences arXiv:2201.04600**Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, et al.*2022 · 27 citations*](https://md.research.elamur.ai/free/en/papers/ascoli-2022-deep-symbolic-regression-recurrent-sequences/)
7. **[Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers](https://md.research.elamur.ai/free/en/papers/alfarano-2024-global-lyapunov-functions-long-standing/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Alberto Alfarano, François Charton, Amaury Hayat*2024 · 19 citations*
8. [**xVal: A Continuous Numerical Tokenization for Scientific Language Models arXiv:2310.02989**Siavash Golkar, Mariel Pettee, Michael Eickenberg, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/golkar-2023-xval-continuous-numerical-tokenization-scientific/)
9. [**SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training arXiv:2310.02227**Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, et al.*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/meidani-2023-snip-bridging-mathematical-symbolic-numeric/)
10. [**What is my math transformer doing? — Three results on interpretability and generalization arXiv:2211.00170**François Charton*2022 · 5 citations*](https://md.research.elamur.ai/free/en/papers/charton-2022-my-math-transformer-doing-three/)
11. **[Language Models Learn Universal Representations of Numbers and Here's Why You Should Care](https://md.research.elamur.ai/free/en/papers/stefanik-2026-language-models-learn-universal-representations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michal Štefánik, Timothee Mickus, Marek Kadlčík, et al.*2026*

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

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