GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning

Author:

Fan Yaxin,Jiang Feng,Li Peifeng,Li Haizhou

Publisher

Springer Nature Switzerland

Reference29 articles.

1. Chen, F., Feng, Y.: Chain-of-thought prompt distillation for multimodal named entity and multimodal relation extraction. ArXiv preprint arXiv:2306.14122 (2023)

2. Chen, Z., et al.: Phoenix: democratizing ChatGPT across languages. arXiv preprint arXiv:2304.10453 (2023)

3. Dahlmeier, D., Ng, H.T.: Better evaluation for grammatical error correction. In: Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 568–572. Association for Computational Linguistics, Montréal, Canada, June 2012. https://aclanthology.org/N12-1067

4. Fang, T., et al.: Is ChatGPT a highly fluent grammatical error correction system? A comprehensive evaluation. arXiv preprint arXiv:2304.01746 (2023)

5. Hinson, C., Huang, H.H., Chen, H.H.: Heterogeneous recycle generation for Chinese grammatical error correction. In: Proceedings of the 28th International Conference on Computational Linguistics, pp. 2191–2201 (2020)

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