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Tatiana Shavrina

Tatiana Shavrina has 2 papers in our library, in 2022–2024, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Low-resource languages; often with Maria Tikhonova, Vladislav Mikhailov, Aleksandr Abramov.

2 papers in our library · 2022–2024

OpenAlex · ORCID · h-index 10 · 55 works · 1,225 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,574 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #5216

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

🎓National Research University Higher School of EconomicsMoscow · Russia2016–2024 · 16 papersEducation since 2016 · master, Computational linguistics🤝AIRI - Artificial Intelligence Research InstituteMoscow · Russia2021–2024 · 11 papers🔬Institute of LinguisticsMoscow · Russia2023–2025 · 5 papers🔬Artificial Intelligence Research InstituteCerdanyola del Vallès · Spain2022–2023 · 3 papers🏛️Russian Academy of SciencesMoscow · Russia2021–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workLow-resource languages · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. mGPT: Few-Shot Learners Go Multilingual (2022 · 203 citations)
    Most autoregressive language models capable of few-shot learning target English or a few high-resource languages.
  2. A Family of Pretrained Transformer Language Models for Russian (2024 · 60 citations)
    Openly available Transformer language models built specifically for Russian have been scarce. Researchers have mostly relied on massively multilingual models such as mBERT or XLM-R, plus a few monolingual releases like DeepPavlov's RuBERT. The authors describe a family of 13 Russian models across three architecture…

All works

6 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. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗arXiv:2211.05100 · no summary yetBigScience Workshop et al.2022 · 1,606 citations
  2. mGPT: Few-Shot Learners Go MultilingualarXiv:2204.07580Oleh Shliazhko, Alena Fenogenova, Maria Tikhonova, et al.2022 · 203 citations
  3. A Family of Pretrained Transformer Language Models for RussianLanguage Resources and Evaluation Conference (LREC)Dmitry Zmitrovich, Aleksandr Abramov, Andrey Kalmykov, et al.2024 · 60 citations
  4. MLGym: A New Framework and Benchmark for Advancing AI Research Agents ↗arXiv:2502.14499 · no summary yetDeepak Nathani et al.2025 · 50 citations
  5. A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification ↗Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval) · no summary yetVarvara Logacheva et al.2022 · 10 citations
  6. The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements ↗arXiv:2506.22419 · no summary yetBingchen Zhao et al.2025 · 4 citations

 Co-authors here

6 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 1,574 times (of the 149,439 papers whose bibliographies we read); 323 citing papers with a page here →.

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