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20242026
most citedLarge Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction

2 citations · 2 across the 5 of their papers we have counts for

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cs.CL2024

Pruning Multilingual Large Language Models for Multilingual Inference

Hwichan Kim, Jun Suzuki, Tosho Hirasawa +1

Multilingual large language models (MLLMs), trained on multilingual balanced data, demonstrate better zero-shot learning performance in non-English languages compared to large lang…

cs.CL2024★ 2 cited

Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction

Masamune Kobayashi, Masato Mita, Mamoru Komachi

Large Language Models (LLMs) have been reported to outperform existing automatic evaluation metrics in some tasks, such as text summarization and machine translation. However, ther…