Table. 2.

Applications of large language models (LLMs) in peer review and publication

Manuscript screening &
quality assessment
Generating review comments & feedback Potential biases &
limitations
Editorial office applications
- Assist in proofreading and error detection [48,49]
- Assess quality and bias in systematic reviews [50]
- Develop methodology grading systems [51]
- Benefit underprivileged researchers [52]
- Streamline peer review [53]
- LLM comments overlap with human [54]
- Tend to provide overly positive reviews [55]
- May reduce reviewer overload [56]
- Demographic biases [57,58]
- Overreliance may reduce diversity [54]
- Lack deep domain knowledge [59,60]
- Human oversight remains essential [54]
- Prescreen manuscripts
- Convert into easily understandable language and multilingual translation
- Consider data privacy
Korean J Physiol Pharmacol 2024;28:393-401 https://doi.org/10.4196/kjpp.2024.28.5.393
© Korean J Physiol Pharmacol