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Viktoriia A. Chekalina

Viktoriia A. Chekalina has 2 papers in our library, in 2026, most of them on Dialogue systems, Vision & language; often with Alexander Panchenko, Maria Tikhonova.

2 papers in our library · 2026

OpenAlex · h-index 1 · 9 works · 8 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12264

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

🤝AIRI - Artificial Intelligence Research InstituteMoscow · Russia2026 · 1 papercurrent🎓Lomonosov Moscow State UniversityMoscow · Russia2026 · 1 papercurrent🎓Skolkovo Institute of Science and TechnologySkolkovo · Russia2021–2024 · 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 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Dialogue systems · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Acceleration of Backpropagation in Linear Layers of Transformer Models Based on Gradient Structure (2026)
    Fine-tuning Transformers spends much of its compute on the backward pass through linear layers. Many NLP tasks use short inputs padded to a fixed context length, and the authors show this padding creates structured row sparsity in the output gradients. They measured this in BERT-base and RoBERTa-base on GLUE (short)…
  2. From Standard Transformers to Modern LLMs: Bringing Dialogue Models, RAG, and Agents to the Classroom (2026)
    This TeachNLP 2026 paper describes the second edition of an open university course on Transformer-based LLMs and multimodal models, first presented by Nikishina et al.

 Co-authors here

2 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.

Updated

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