@inproceedings{mynka-mikhaylovskiy-2024-tsu,
    title = "{TSU} {HITS}{'}s Submissions to the {WMT} 2024 General Machine Translation Shared Task",
    author = "Mynka, Vladimir  and
      Mikhaylovskiy, Nikolay",
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Ninth Conference on Machine Translation",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.wmt-1.13/",
    doi = "10.18653/v1/2024.wmt-1.13",
    pages = "205--209",
    abstract = "This paper describes the TSU HITS team{'}s submission system for the WMT{'}24 general translation task. We focused on exploring the capabilities of discrete diffusion models for the English-to-{\{}Russian, German, Czech, Spanish{\}} translation tasks in the constrained track. Our submission system consists of a set of discrete diffusion models for each language pair. The main advance is using a separate length regression model to determine the length of the output sequence more precisely."
}