@inproceedings{kyslyi-bazdyrev-2026-teaching-modern,
    title = "Teaching {M}odern {NLP} and {LLM}s at Kyiv School of Economics: A Practice-Oriented Course with {U}krainian Language Focus",
    author = "Kyslyi, Roman  and
      Bazdyrev, Anton",
    editor = {A{\ss}enmacher, Matthias  and
      Biester, Laura  and
      Borg, Claudia  and
      Kov{\'a}cs, Gy{\"o}rgy  and
      Mieskes, Margot  and
      Serrano, Sofia},
    booktitle = "Proceedings of the Seventh Workshop on Teaching Natural Language Processing ({T}each{NLP} 2026)",
    month = mar,
    year = "2026",
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-eacl/2026.teachingnlp-1.13/",
    pages = "84--87",
    ISBN = "979-8-89176-375-3",
    abstract = "This paper describes a Natural Language Processing (NLP) course taught at Kyiv School of Economics. The course consists of 16 lectures, 5 practical assignments and focuses on modern large language models (LLMs) while preserving an introduction to classical NLP. Practical assignments are organized using Kaggle, where GPU support plays an important role in enabling students to work with complex models. A key feature of the course is the focus on Ukrainian in the practical assignments, contributing to the development of Ukrainian NLP expertise and community. The course is taught primarily in-person, but due to the ongoing war in Ukraine, also includes a full online participation option and additional weekly QnA sessions."
}