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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.CL2025

Assessing the Capabilities of LLMs in Humor:A Multi-dimensional Analysis of Oogiri Generation and Evaluation

Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa +1

Computational humor is a frontier for creating advanced and engaging natural language processing (NLP) applications, such as sophisticated dialogue systems. While previous studies…