Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models
<|reference_start|>Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models: In this paper, we carry out experimental research on Grammatical Error Correction, delving into the nuances of single-model systems, comparing the efficiency of ensembling and ranking methods, and exploring the application of large language models to GEC as single-model systems, as parts of ensembles, and as ranking methods. We set new state-of-the-art performance with F_0.5 scores of 72.8 on CoNLL-2014-test and 81.4 on BEA-test, respectively. To support further advancements in GEC and ensure the reproducibility of our research, we make our code, trained models, and systems' outputs publicly available.<|reference_end|>
@article{omelianchuk2024pillars,
    title={Pillars of Grammatical Error Correction: Comprehensive Inspection Of
  Contemporary Approaches In The Era of Large Language Models},
    author={Kostiantyn Omelianchuk, Andrii Liubonko, Oleksandr Skurzhanskyi, Artem
  Chernodub, Oleksandr Korniienko, Igor Samokhin},
    journal={arXiv preprint arXiv:2404.14914},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.14914},
    primaryClass={cs.CL}
}