Do LLMs and Humans Find the Same Questions Difficult? A Case Study on Japanese Quiz Answering

November 15, 2025 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Naoya Sugiura, Kosuke Yamada, Yasuhiro Ogawa, Katsuhiko Toyama, Ryohei Sasano arXiv ID 2511.12300 Category cs.CL: Computation & Language Citations 0 Venue arXiv.org Last Checked 6 months ago
Abstract
LLMs have achieved performance that surpasses humans in many NLP tasks. However, it remains unclear whether problems that are difficult for humans are also difficult for LLMs. This study investigates how the difficulty of quizzes in a buzzer setting differs between LLMs and humans. Specifically, we first collect Japanese quiz data including questions, answers, and correct response rate of humans, then prompted LLMs to answer the quizzes under several settings, and compare their correct answer rate to that of humans from two analytical perspectives. The experimental results showed that, compared to humans, LLMs struggle more with quizzes whose correct answers are not covered by Wikipedia entries, and also have difficulty with questions that require numerical answers.
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