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Viktoriia A. Chekalina

Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language
2021 · Viktoriia Chekalina, Alexander Bondarenko, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 8
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Fast and Accurate Fisher-Guided Quantization via Efficient Kronecker Factorization
2026 · Association for Computational Linguistics 2026, Chekalina, Viktoriia A., et al. · Underline Science Inc.
Acceleration of Backpropagation in Linear Layers of Transformer Models Based on Gradient Structure
2026 · Association for Computational Linguistics 2026, Chekalina, Viktoriia A., et al. · Underline Science Inc.
Acceleration of Backpropagation in Linear Layers of Transformer Models Based on Gradient Structure
2026 · Dmitrii Topchii, Alexander Panchenko, et al. · Conference of the European Chapter of the Association for Computational Linguistics
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From Standard Transformers to Modern LLMs: Bringing Dialogue Models, RAG, and Agents to the Classroom
2026 · Maria Tikhonova, Viktoriia A. Chekalina, et al.
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Fast and Accurate Fisher-Guided Quantization via Efficient Kronecker Factorization
2026 · Viktoriia A. Chekalina, Gerasin Timofey, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Addressing Hallucinations in Language Models with Knowledge Graph Embeddings as an Additional Modality
2024 · Chekalina, Viktoriia, Razzhigaev, Anton, et al. · arXiv (Cornell University)
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SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers
2024 · Viktoriia A. Chekalina, Anna Rudenko, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Boosting Neutral Particles Identification by Boosting Trees: LHCb case
2018 · Viktoriia Chekalina · CERN Document Server (European Organization for Nuclear Research)
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Works count: 9
Citation count: 8
H-index: 1
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