4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Human-LLM Alignment in Language Attitudes Toward Non-Native Japanese
Naho Orita, Hayato Ogawa, Daisuke Kawahara
Large language models (LLMs) increasingly evaluate human writing in high-stakes domains such as hiring and academic assessment, putting non-native speakers at particular risk. Draw…
cs.CL2024★ 4 cited
Automated Generation of Multiple-Choice Cloze Questions for Assessing English Vocabulary Using GPT-turbo 3.5
Qiao Wang, Ralph Rose, Naho Orita +1
A common way of assessing language learners' mastery of vocabulary is via multiple-choice cloze (i.e., fill-in-the-blank) questions. But the creation of test items can be laborious…