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cs.CL2026
Edit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correction
Takumi Goto, Yusuke Sakai, Taro Watanabe
Grammatical error correction using large language models often suffers from the over-correction issue. To mitigate this, we propose a training-free inference method that performs e…
cs.CL2026
Grammatical Error Correction Evaluation by Optimally Transporting Edit Representation
Takumi Goto, Yusuke Sakai, Taro Watanabe
Automatic evaluation in grammatical error correction (GEC) is crucial for selecting the best-performing systems. Currently, reference-based metrics are a popular choice, which basi…