Papers with CGEC field

2 papers
Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction (2025.acl-industry)

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Challenge: Recent studies have shown that Large Language Models’ performance as correctors on Chinese Grammatical Error Correction (CGEC) remains unsatisfactory due to the challenging nature of the task.
Approach: They propose a training framework EXAM that uses LLMs as explainers to enhance CGEC small models and a novel evaluation method SEE that utilizes LLM as evaluators to bring more reasonable evaluations.
Outcome: The proposed methods improve the performance of LLMs on Chinese Grammatical Error Correction (CGEC) task.
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction (2022.findings-emnlp)

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Challenge: Chinese Grammatical Error Correction (CGEC) is a challenging NLP task and a common application in human daily life.
Approach: They propose a linguistic rules-based approach to construct large-scale CGEC training corpora with automatically generated grammatical errors.
Outcome: The proposed method improves performance of existing CGEC models and the benchmark is excellent resource for further development.

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