Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction

arXiv:2402.11420v1 Announce Type: new
Abstract: Recently, Large Language Models (LLMs) have been widely studied by researchers for their roles in various downstream NLP tasks. As a fundamental task in the NLP field, Chinese Grammatical Error Correction (CGEC) aims to correct all potential grammatical errors in the input sentences. Previous studies have shown that LLMs' performance as correctors on CGEC remains unsatisfactory due to its challenging task focus. To promote the CGEC field to better adapt to the era of LLMs, …

abstract arxiv chinese cs.cl error error correction errors language language models large language large language models llms nlp researchers roles tasks type