---
title: "Viktoriia A. Chekalina — author profile and papers in our library"
description: "Viktoriia A. Chekalina, Lomonosov Moscow State University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/viktoriia-a-chekalina/"
---
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# Viktoriia A. Chekalina

Viktoriia A. Chekalina has 2 papers in our library, in 2026, most of them on [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Alexander Panchenko](https://md.research.elamur.ai/free/en/authors/alexander-panchenko/), [Maria Tikhonova](https://md.research.elamur.ai/free/en/authors/maria-tikhonova/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5032752944) · [**h-index 1**](https://openalex.org/authors/A5032752944) · [9 works](https://openalex.org/works?filter=author.id:A5032752944) · [8 citations](https://openalex.org/works?filter=author.id:A5032752944&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/viktoriia-a-chekalina/#papers) · [⭐ Paper Stars ranking: #12264](https://md.research.elamur.ai/free/en/paper-stars/page/123/#star-12264)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Viktoriia+A.+Chekalina) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Viktoriia+A.+Chekalina) · [dblp](https://dblp.org/search?q=Viktoriia+A.+Chekalina) · [ACL Anthology](https://aclanthology.org/search/?q=Viktoriia+A.+Chekalina)

## Affiliations

[🤝**AIRI - Artificial Intelligence Research Institute** Moscow · Russia 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/ngos/airi-artificial-intelligence-research-institute/) · [🎓**Lomonosov Moscow State University** Moscow · Russia 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/lomonosov-moscow-state-university/) · [🎓**Skolkovo Institute of Science and Technology** Skolkovo · Russia 2021–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/skolkovo-institute-of-science-and-technology/)

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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/viktoriia-a-chekalina/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Acceleration of Backpropagation in Linear Layers of Transformer Models Based on Gradient Structure](https://md.research.elamur.ai/free/en/papers/topchii-2026-acceleration-backpropagation-linear-layers-transformer/)** *(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](https://md.research.elamur.ai/free/en/papers/tikhonova-2026-standard-transformers-modern-llms-bringing/)** *(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.

- [Alexander Panchenko](https://md.research.elamur.ai/free/en/authors/alexander-panchenko/) ×2
- [Maria Tikhonova](https://md.research.elamur.ai/free/en/authors/maria-tikhonova/)

## Venues

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

- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [Workshop on Teaching Natural Language Processing](https://md.research.elamur.ai/free/en/venues/teachingnlp/): [Workshop on Teaching Natural Language Processing 2026](https://md.research.elamur.ai/free/en/venues/teachingnlp/2026/)

Updated 1 November 2026
