May Lynn Reese

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2025

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Linguistic proficiency of humans and LLMs in Japanese: Effects of task demands and content
May Lynn Reese | Anastasia Smirnova
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers

We evaluate linguistic proficiency of humans and LLMs on pronoun resolution in Japanese, using the Winograd Schema Challenge dataset. Humans outperform LLMs in the baseline condition, but we find evidence for task demand effectss in both humans and LLMs. We also found that LLMs surpass human performance in scenarios referencing US culture, providing strong evidence for content effects.
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