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Natalia Vassilieva

Natalia Vassilieva has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Joel Hestness, Biswajit Mishra, Bokang Jia.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 8 · 26 works · 329 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 58 times in our library · ⭐ Paper Stars ranking: #7957

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

🏢Cerebras SystemsSunnyvale · United States2019–2026 · 6 paperscurrent🏢Hewlett-PackardPalo Alto · United States2011–2013 · 5 papers🎓Moscow State Institute of International RelationsMoscow · Russia1999–2021 · 1 paperEducationEmployment since 1999 · an associate professor, Department of International Relations and Foreign Policy of Russia

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 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 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SlimPajama-DC: Understanding Data Combinations for LLM Training (2023 · 38 citations)
    Pretraining corpora for LLMs are usually built from several sources, such as web crawls, code, books, and Wikipedia.
  2. Bilingual Adaptation of Monolingual Foundation Models (2024 · 7 citations)
    English-dominant open LLMs such as Llama 2 handle other languages poorly. Training a bilingual model from scratch is costly and tends to give weaker English. Adapting an existing model brings its own problems: it can forget English, and its English-centric tokenizer splits foreign text into many pieces. The authors…

 Co-authors here

12 of 14 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 58 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated

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