Attempts to investigate what words trivia experts focus on in quiz questions: Human-AI comparison through “LLM-as-a-judge” approach

Masaru Shirasuna, Yuto Yoshida

Open source

DOI: 10.1371/journal.pone.0358332
Published: 2026-09-22
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0358332,
  title = {Attempts to investigate what words trivia experts focus on in quiz questions: Human-AI comparison through “LLM-as-a-judge” approach},
  author = {Masaru Shirasuna and Yuto Yoshida},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0358332},
  url = {https://doi.org/10.1371/journal.pone.0358332}
}

RIS

TY  - JOUR
TI  - Attempts to investigate what words trivia experts focus on in quiz questions: Human-AI comparison through “LLM-as-a-judge” approach
AU  - Masaru Shirasuna
AU  - Yuto Yoshida
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0358332
UR  - https://doi.org/10.1371/journal.pone.0358332
ER  -

APA

Shirasuna, M., & Yoshida, Y. (2026). Attempts to investigate what words trivia experts focus on in quiz questions: Human-AI comparison through “LLM-as-a-judge” approach. PLOS One. https://doi.org/10.1371/journal.pone.0358332

Source records

crossref · retrieved 2026-09-25T14:15:01.579Z