Benchmarking Large Language Models for Scientific Writing: A Mixed‑Methods Evaluation of Chatgpt, Deepseek, and Human Authors.

Zhilisbayeva KR, Shokrpour N, Parvizi MM

DOI: 10.30476/jamp.2026.109761.2366
Published: 2026 Jul
Container: Journal of advances in medical education & professionalism
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.30476/jamp.2026.109761.2366,
  title = {Benchmarking Large Language Models for Scientific Writing: A Mixed‑Methods Evaluation of Chatgpt, Deepseek, and Human Authors.},
  author = {Zhilisbayeva KR and Shokrpour N and Parvizi MM},
  year = {2026},
  journal = {Journal of advances in medical education \& professionalism},
  doi = {10.30476/jamp.2026.109761.2366},
  url = {https://doi.org/10.30476/jamp.2026.109761.2366}
}

RIS

TY  - JOUR
TI  - Benchmarking Large Language Models for Scientific Writing: A Mixed‑Methods Evaluation of Chatgpt, Deepseek, and Human Authors.
AU  - Zhilisbayeva KR
AU  - Shokrpour N
AU  - Parvizi MM
PY  - 2026
JO  - Journal of advances in medical education & professionalism
DO  - 10.30476/jamp.2026.109761.2366
UR  - https://doi.org/10.30476/jamp.2026.109761.2366
ER  -

APA

KR, Z., N, S., & MM, P. (2026). Benchmarking Large Language Models for Scientific Writing: A Mixed‑Methods Evaluation of Chatgpt, Deepseek, and Human Authors.. Journal of advances in medical education & professionalism. https://doi.org/10.30476/jamp.2026.109761.2366

Source records

pubmed · retrieved 2026-09-25T21:49:43.462Z