--- title: "Igor Gitman — author profile and papers — Elamur Research" description: "Igor Gitman: 2 papers on Elamur Research (2024), h-index 8 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/igor-gitman/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/igor-gitman/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Igor Gitman # Igor Gitman Igor Gitman has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Ivan Moshkov](https://md.research.elamur.ai/free/en/authors/ivan-moshkov/), [Shubham Toshniwal](https://md.research.elamur.ai/free/en/authors/shubham-toshniwal/), [Fei Jia](https://md.research.elamur.ai/free/en/authors/fei-jia/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5038012674) · [**h-index 8**](https://openalex.org/authors/A5038012674) · [30 works](https://openalex.org/works?filter=author.id:A5038012674) · [891 citations](https://openalex.org/works?filter=author.id:A5038012674&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/igor-gitman/#papers) · [🔗 Cited 397 times in our library](https://md.research.elamur.ai/free/en/authors/igor-gitman/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6664](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6664) 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=Igor+Gitman) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Igor+Gitman) · [dblp](https://dblp.org/search?q=Igor+Gitman) · [ACL Anthology](https://aclanthology.org/search/?q=Igor+Gitman) ## Affiliations [🏢**Nvidia** Santa Clara · United States 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2018 · 2 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Education · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/igor-gitman/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset](https://md.research.elamur.ai/free/en/papers/toshniwal-2024-openmathinstruct-1-1-8-million/)** *(2024 · 98 citations)* The strongest open math models have mostly been trained on solutions distilled from GPT-3.5/4. That approach has three drawbacks: restrictive terms of use, higher generation cost, and poor reproducibility because closed models change over time. The authors test whether a permissively licensed open model can take… 2. **[OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data](https://md.research.elamur.ai/free/en/papers/toshniwal-2024-openmathinstruct-2-accelerating-ai-math/)** *(2024 · 85 citations)* The best math-reasoning LLMs increasingly rely on synthetic training data that is either kept private or released under restrictive terms, often because GPT models were used to generate it. This hurts reproducibility and trust in benchmark results, and it makes it hard to study how data design choices matter. ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset](https://md.research.elamur.ai/free/en/papers/toshniwal-2024-openmathinstruct-1-1-8-million/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shubham Toshniwal, Ivan Moshkov, Sean Narenthiran, et al.*2024 · 98 citations* 2. [**OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data arXiv:2410.01560**Shubham Toshniwal, Wei Du, Ivan Moshkov, et al.*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/toshniwal-2024-openmathinstruct-2-accelerating-ai-math/) 3. **[AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset ↗](https://arxiv.org/abs/2504.16891) arXiv:2504.16891 · no summary yet**Ivan Moshkov et al.*2025 · 50 citations* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Ivan Moshkov](https://md.research.elamur.ai/free/en/authors/ivan-moshkov/) ×2 - [Shubham Toshniwal](https://md.research.elamur.ai/free/en/authors/shubham-toshniwal/) ×2 - [Fei Jia](https://md.research.elamur.ai/free/en/authors/fei-jia/) - [Sean Narenthiran](https://md.research.elamur.ai/free/en/authors/sean-narenthiran/) - [Wei Du](https://md.research.elamur.ai/free/en/authors/wei-du/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 397 times (of the 149,439 papers whose bibliographies we read); [109 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/igor-gitman/cited-by/). Updated 2 November 2026