Kernkonzepte
Spivavtor is an instruction-tuned model for performing various text editing tasks in the Ukrainian language, including Grammatical Error Correction, Text Simplification, Coherence, and Paraphrasing.
Zusammenfassung
The paper introduces 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, which performs text editing tasks by following instructions in Ukrainian.
The paper describes the details of the Spivavtor-Instruct dataset and Spivavtor models. The authors evaluate Spivavtor on a variety of text editing tasks in Ukrainian, including Grammatical Error Correction (GEC), Text Simplification, Coherence, and Paraphrasing, and demonstrate its superior performance compared to various baselines.
The key highlights and insights from the paper are:
- Spivavtor generally performs significantly better than baseline models, including GPT4, on all text editing tasks.
- Domain-specific instruction tuning outperforms instruction tuning on a large set of generic instructions.
- Encoder-Decoder models outperform Decoder-only models on text editing tasks.
- Larger models tend to perform better than smaller ones.
The authors publicly release their best-performing models and data as resources to the community to advance further research in this space.
Statistiken
"Дякую за iнформацiю! ми з Надiєю саме вийшли з дому"
"Там вiн помер 13 сiчня 888 року."
"Lynch still refuses to talk about the infamous May traffic accident in which he struck a female pedestrian in a Buffalo nightclub area and drove away. However, the fact that Lynch spoke at all deserves attention in this place."
"What is the greatest compliment that you ever received?"
Zitate
"Spivavtor is the Ukrainian-focused adaptation of the English-only CoEdIT (Raheja et al., 2023) model."
"We publicly release our best-performing models and data as resources to the community to advance further research in this space."