---
title: "Zhangir Azerbayev — author profile and papers"
description: "Zhangir Azerbayev, Princeton University: 3 papers on Elamur Research (2023), h-index 4 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/zhangir-azerbayev/"
---
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# Zhangir Azerbayev

3 papers on this site · 2023

current affiliation [Princeton University](https://ror.org/00hx57361), Princeton, United States; [Yale University](https://ror.org/03v76x132), New Haven, United States

Zhangir Azerbayev has 3 papers on this site, in 2023, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Hailey Schoelkopf](https://md.research.elamur.ai/free/en/authors/hailey-schoelkopf/), [Keiran Paster](https://md.research.elamur.ai/free/en/authors/keiran-paster/), [Marco Dos Santos](https://md.research.elamur.ai/free/en/authors/marco-dos-santos/).

[OpenAlex](https://openalex.org/A5029518700) · [**h-index 4**](https://openalex.org/authors/A5029518700) · [8 works](https://openalex.org/works?filter=author.id:A5029518700) · [41 citations](https://openalex.org/works?filter=author.id:A5029518700&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[3 works on this site](https://md.research.elamur.ai/free/en/authors/zhangir-azerbayev/#papers) · [507 citations in our library](https://md.research.elamur.ai/free/en/authors/zhangir-azerbayev/cited-by/)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zhangir+Azerbayev) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhangir+Azerbayev) · [dblp](https://dblp.org/search?q=Zhangir+Azerbayev) · [ACL Anthology](https://aclanthology.org/search/?q=Zhangir+Azerbayev)

## Affiliations

- [Yale University](https://ror.org/03v76x132) · New Haven, United States —current · 2021–2023 on 5 papers
- [Princeton University](https://ror.org/00hx57361) · Princeton, United States —current · 2023 on 2 papers
- [Pennsylvania State University](https://ror.org/04p491231) · State College, United States —2021 on 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Topics

[Reasoning 2](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Llemma: An Open Language Model For Mathematics](https://md.research.elamur.ai/free/en/papers/azerbayev-2023-llemma-open-language-model-mathematics/)** *(2023 · 275 citations)* General-purpose LLMs are weak at mathematics, and the strongest math-specialised model, Minerva, was never released, so other researchers could not build on it.
2. **[ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics](https://md.research.elamur.ai/free/en/papers/azerbayev-2023-proofnet-autoformalizing-formally-proving-undergraduate/)** *(2023 · 141 citations)* Autoformalization means converting informal mathematics into statements a proof assistant can check. Progress has been limited by the scarcity of paired informal and formal data. Existing prover benchmarks also lean on competition problems that require only a small set of elementary facts. To address this, the…
3. **[OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text](https://md.research.elamur.ai/free/en/papers/paster-2023-openwebmath-open-dataset-high-quality/)** *(2023 · 124 citations)* Large language models get noticeably better at quantitative reasoning when trained on math-heavy text. Minerva showed this, but its web corpus was never released. Existing open web datasets also mangle mathematical notation during HTML-to-text conversion, so open researchers had no comparable resource. The authors…

## Co-authors here

10 co-authors with a page, the most papers together first.

- [Hailey Schoelkopf](https://md.research.elamur.ai/free/en/authors/hailey-schoelkopf/) ×2
- [Keiran Paster](https://md.research.elamur.ai/free/en/authors/keiran-paster/) ×2
- [Marco Dos Santos](https://md.research.elamur.ai/free/en/authors/marco-dos-santos/) ×2
- [Albert Q. Jiang](https://md.research.elamur.ai/free/en/authors/albert-q-jiang/)
- [Dragomir Radev](https://md.research.elamur.ai/free/en/authors/dragomir-radev/)
- [Jia Deng](https://md.research.elamur.ai/free/en/authors/jia-deng/)
- [Jimmy Ba](https://md.research.elamur.ai/free/en/authors/jimmy-ba/)
- [Sean Welleck](https://md.research.elamur.ai/free/en/authors/sean-welleck/)
- [Stella Biderman](https://md.research.elamur.ai/free/en/authors/stella-biderman/)
- [Stephen McAleer](https://md.research.elamur.ai/free/en/authors/stephen-mcaleer/)

## Cited by

Papers of our library cite their works 507 times (of the 140 884 papers whose bibliographies we read); [41 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhangir-azerbayev/cited-by/).
