@inproceedings{saini-etal-2024-spivavtor,
    title = "Spivavtor: An Instruction Tuned {U}krainian Text Editing Model",
    author = "Saini, Aman  and
      Chernodub, Artem  and
      Raheja, Vipul  and
      Kulkarni, Vivek",
    editor = "Romanyshyn, Mariana  and
      Romanyshyn, Nataliia  and
      Hlybovets, Andrii  and
      Ignatenko, Oleksii",
    booktitle = "Proceedings of the Third Ukrainian Natural Language Processing Workshop (UNLP) @ LREC-COLING 2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.unlp-1.12",
    pages = "95--108",
    abstract = "We introduce Spivavtor, a dataset, and instruction-tuned models for text editing focused on the Ukrainian language. Spivavtor is the Ukrainian-focused adaptation of the English-only CoEdIT (Raheja et al., 2023) model. Similar to CoEdIT, Spivavtor performs text editing tasks by following instructions in Ukrainian like {``}ÐÐ¸Ð¿ÑÐ°Ð²ÑÐµ Ð³ÑÐ°Ð¼Ð°ÑÐ¸ÐºÑ Ð² ÑÑÐ¾Ð¼Ñ ÑÐµÑÐµÐ½Ð½i{''} and {``}Ð¡Ð¿ÑÐ¾ÑÑiÑÑ ÑÐµ ÑÐµÑÐµÐ½Ð½Ñ{''} which translate to {``}Correct the grammar in this sentence{''} and {``}Simplify this sentence{''} in English, respectively. This paper describes the details of the Spivavtor-Instruct dataset and Spivavtor models. We evaluate Spivavtor on a variety of text editing tasks in Ukrainian, such as Grammatical Error Correction (GEC), Text Simplification, Coherence, and Paraphrasing, and demonstrate its superior performance on all of them. We publicly release our best performing models and data as resources to the community to advance further research in this space.",
}

We introduce Spivavtor, a dataset, and instruction-tuned models for text editing focused on the Ukrainian language. Spivavtor is the Ukrainian-focused adaptation of the English-only CoEdIT (Raheja et al., 2023) model. Similar to CoEdIT, Spivavtor performs text editing tasks by following instructions in Ukrainian like {``}ÐÐ¸Ð¿ÑÐ°Ð²ÑÐµ Ð³ÑÐ°Ð¼Ð°ÑÐ¸ÐºÑ Ð² ÑÑÐ¾Ð¼Ñ ÑÐµÑÐµÐ½Ð½i{''} and {``}Ð¡Ð¿ÑÐ¾ÑÑiÑÑ ÑÐµ ÑÐµÑÐµÐ½Ð½Ñ{''} which translate to {``}Correct the grammar in this sentence{''} and {``}Simplify this sentence{''} in English, respectively. This paper describes the details of the Spivavtor-Instruct dataset and Spivavtor models. We evaluate Spivavtor on a variety of text editing tasks in Ukrainian, such as Grammatical Error Correction (GEC), Text Simplification, Coherence, and Paraphrasing, and demonstrate its superior performance on all of them. We publicly release our best performing models and data as resources to the community to advance further research in this space.
Saini, Aman Chernodub, Artem Raheja, Vipul Kulkarni, Vivek
Spivavtor: An Instruction Tuned Ukrainian Text Editing Model