Sino-US-DrugQA: A benchmark for evaluating large language models in cross-jurisdictional pharmaceutical regulation.

Fu X, Chen Z, Lu W.

Open source

DOI: 10.1371/journal.pone.0343858
Published: 2026-09-15
Container: PLoS One
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0343858,
  title = {Sino-US-DrugQA: A benchmark for evaluating large language models in cross-jurisdictional pharmaceutical regulation.},
  author = {Fu X and  Chen Z and  Lu W.},
  year = {2026},
  journal = {PLoS One},
  doi = {10.1371/journal.pone.0343858},
  url = {https://doi.org/10.1371/journal.pone.0343858}
}

RIS

TY  - JOUR
TI  - Sino-US-DrugQA: A benchmark for evaluating large language models in cross-jurisdictional pharmaceutical regulation.
AU  - Fu X
AU  -  Chen Z
AU  -  Lu W.
PY  - 2026
JO  - PLoS One
DO  - 10.1371/journal.pone.0343858
UR  - https://doi.org/10.1371/journal.pone.0343858
ER  -

APA

X, F., Z, C., & W., L. (2026). Sino-US-DrugQA: A benchmark for evaluating large language models in cross-jurisdictional pharmaceutical regulation.. PLoS One. https://doi.org/10.1371/journal.pone.0343858

Source records

europe-pmc · retrieved 2026-09-25T05:55:08.351Z
doaj · retrieved 2026-09-25T05:55:08.333Z