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Ivan Moshkov

Ivan Moshkov has 2 papers in our library, in 2024, most of them on Language models & pretraining; often with Igor Gitman, Shubham Toshniwal, Fei Jia.

2 papers in our library · 2024

OpenAlex · h-index 2 · 15 works · 18 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 501 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6666

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputational Theory and Mathematics · 2 worksSocial Sciences · 1 workArts and Humanities · 1 workEducation · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset (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 (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 DatasetConference on Neural Information Processing Systems (NeurIPS)Shubham Toshniwal, Ivan Moshkov, Sean Narenthiran, et al.2024 · 98 citations
  2. OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction DataarXiv:2410.01560Shubham Toshniwal, Wei Du, Ivan Moshkov, et al.2024 · 85 citations
  3. AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset ↗arXiv:2504.16891 · no summary yetIvan Moshkov et al.2025 · 50 citations

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 501 times (of the 149,439 papers whose bibliographies we read); 119 citing papers with a page here →.

Updated

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