mlsanityData to 7 Oct 2026

Spivavtor: An Instruction Tuned Ukrainian Text Editing Model

arXiv 2404.18880 ↗First posted 29 Apr 2024cs.CLcited by 4

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Abstract (arXiv)

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 model. Similar to CoEdIT, Spivavtor performs text editing tasks by following instructions in Ukrainian. 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.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 28 of its 42 references that are in the map. First posted on arXiv 29 Apr 2024.

Builds on

28 of 42 references.

References · 28

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16 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 1.

4 papers.

  1. 2025Introducing OmniGEC: A Silver Multilingual Dataset for Grammatical Error Correctioncited by 3
  2. 2026How Far Can Prompting Go for Minimal-Edit Ukrainian Grammatical Error Correction?cited by 1
  3. 2025Efficient Multi-Instance Generation with Janus-Pro-Dirven Prompt Parsingcited by 0
  4. 2025EmoBench-UA: A Benchmark Dataset for Emotion Detection in Ukrainiancited by 0