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  1. 2025

  2. Bridging the Gap in Less-Resourced Languages: Building a Benchmark for Kyrgyz Language Models

    Turatali, T., Turdubaeva, A., Islam, Z., Suranbaev, Z., Алексеев, А. М. & Izmailov, R., 17 Sep 2025, 2025 10th International Conference on Computer Science and Engineering (UBMK). Institute of Electrical and Electronics Engineers Inc., p. 1673-1677

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  3. Human-Annotated NER Dataset for the Kyrgyz Language

    Turatali, T., Алексеев, А. М., Jumalieva, G., Kabaeva, G. & Николенко, С. И., 17 Sep 2025, 2025 10th International Conference on Computer Science and Engineering (UBMK). Institute of Electrical and Electronics Engineers Inc., p. 1607-1612

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  4. KyrgyzNLP: Challenges, Progress, and Future

    Алексеев, А. М. & Turatali, T., 2025, Analysis of Images, Social Networks and Texts: 12th International Conference, AIST 2024, Bishkek, Kyrgyzstan, October 17–19, 2024, Revised Selected Papers. Springer Nature, p. 3-39 37 p. (Lecture Notes in Computer Science; vol. 15419 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. LAMeD: LLM-generated Annotations for Memory Leak Detection

    Шеметова, Е. Н., Шенбин, И., Смирнов, И. З., Алексеев, А. М., Рухович, А., Николенко, С. И., Ломшаков, В. & Пионтковская, И., 2025, (E-pub ahead of print) LAMeD: LLM-generated Annotations for Memory Leak Detection. 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  6. 2024

  7. Neural Click Models for Recommender Systems

    Shirokikh, M., Shenbin, I., Alekseev, A., Volodkevich, A., Vasilev, A., Savchenko, A. V. & Nikolenko, S., 10 Jul 2024, SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. p. 2553-2558 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. Nabla^2 DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials

    Храбров, К., Бер, А., Цыпин, А., Ушенин, К., Румянцев, Е., Телепов, А., Протасов, Д., Шенбин, И., Алексеев, А. М., Широких, М. А., Николенко, С. И., Тутубалина, Е. & Кадурин, А., 2024.

    Research output: Working paper › Preprint

  9. Применение синтаксических парсеров для турецкого языка в задаче разметки кыргызских синтаксических корпусов

    Алексеев, А. М., Тиллабаева, А., Кабаева, Г. & Николенко, С., 2024, In: Записки научных семинаров ПОМИ. 540, Исследования по прикладной математике и информатике. IV, p. 252-275

    Research output: Contribution to journal › Article › peer-review

  10. 2023

  11. Neural Networks for Coordination Analysis

    Predelina, A. I., Dulikov, S. Y. & Alekseev, A. M., 1 Dec 2023, In: Doklady Mathematics. 108, p. S416-S423

    Research output: Contribution to journal › Article › peer-review

  12. USER RESPONSE MODELING IN RECOMMENDER SYSTEMS: A SURVEY

    Широких, М., Шенбин, И., Алексеев, А., Володкевич, А., Васильев, А. & Николенко, С., 8 Nov 2023, (E-pub ahead of print) In: Journal of Mathematical Sciences.

    Research output: Contribution to journal › Article › peer-review

  13. Benchmarking Multilabel Topic Classification in the Kyrgyz Language

    Alekseev, A., Nikolenko, S. & Kabaeva, G., 2023, International Conference on Analysis of Images, Social Networks and Texts. p. 21-35 15 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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