Comparing LLM and Human Difficulty in Japanese Quiz Answering

This ArXiv paper provides a valuable case study by comparing the performance of Large Language Models (LLMs) and humans on Japanese quizzes. The research investigates potential discrepancies in perceived difficulty, offering insights into LLM strengths and weaknesses.

• •The paper likely identifies questions that are difficult for both LLMs and humans.
• •It could analyze the types of questions that LLMs struggle with more than humans.
• •The findings may inform the design of better LLMs or training data.