AI RESEARCH
Multi-Dimensional Evaluation of LLMs for Grammatical Error Correction
arXiv CS.CL
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ArXi:2605.07635v1 Announce Type: new Automated assistants for Grammatical Error Correction are now embedded in educational platforms serving millions of learners, yet three critical gaps remain in this domain: (1) latest-generation Large Language Models (LLMs) lack comprehensive evaluation on grammar correction tasks; (2) whether combining these LLMs improves correction quality is unexplored; and (3) the extent to which reference-based metrics underestimate GEC system performance has not been adequately quantified.