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Oleksii Hrinchuk

Oleksii Hrinchuk has 2 papers in our library, in 2019–2026, most of them on Machine translation; often with Boris Ginsburg, Vitaly Lavrukhin, Brian Yan.

2 papers in our library · 2019–2026

OpenAlex · h-index 11 · 38 works · 772 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 140 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6017

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

 Affiliations

🏢NvidiaSanta Clara · United States2021–2026 · 17 paperscurrent🏢NvidiaReading · United Kingdom2021–2026 · 11 paperscurrent🎓Skolkovo Institute of Science and TechnologySkolkovo · Russia2018–2020 · 4 papers🎓Moscow Institute of Physics and TechnologyDolgoprudny · Russia2020 · 2 papers

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

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 1 work

🧭 Topics 1Research subjects and languages the work is about.Machine translation · 1 work

 Works by year

2020s

20261 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. NeMo: a toolkit for building AI applications using Neural Modules (2019 · 244 citations)
    Deep learning code is usually built around raw tensors whose axes have no declared meaning. Architecture, training logic and infrastructure also tend to end up tangled in one script, so combining components from different authors is fragile and requires debugging. The authors present NeMo, an open-source Python…
  2. Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech (2026)
    Simultaneous speech translation (SST) systems built on LLMs can handle unbounded, hours-long audio efficiently when framed as a multi-turn dialogue that reuses the KV cache.

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. NeMo: a toolkit for building AI applications using Neural ModulesarXiv:1909.09577Oleksii Kuchaiev, Jason Li, Huyen Nguyen, et al.2019 · 244 citations
  2. Nvidia-Nemo's WMT 2025 Metrics Shared Task Submission ↗Proceedings of the Tenth Conference on Machine Translation · no summary yetBrian Yan et al.2025 · 1 citation
  3. Hierarchical Policy Optimization for Simultaneous Translation of Unbounded SpeechAnnual Meeting of the Association for Computational Linguistics (ACL)Siqi Ouyang, Shuoyang Ding, Oleksii Hrinchuk, et al.2026

 Co-authors here

9 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 140 times (of the 149,439 papers whose bibliographies we read); 25 citing papers with a page here →.

Updated

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