Enhancing Systematic Reviews with Large Language Models: Using GPT-4 and Kimi

Dandan Chen Kaptur, Yue Huang, Xuejun Ryan Ji, Yanhui Guo, Bradley Kaptur
4/28/2025
cs.CLstat.AP

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Abstract

This research delved into GPT-4 and Kimi, two Large Language Models (LLMs), for systematic reviews. We evaluated their performance by comparing LLM-generated codes with human-generated codes from a peer-reviewed systematic review on assessment. Our findings suggested that the performance of LLMs fluctuates by data volume and question complexity for systematic reviews.

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Cite this paper

@article{kaptur2025enhancing,
  title  = {Enhancing Systematic Reviews with Large Language Models: Using GPT-4 and Kimi},
  author = {Dandan Chen Kaptur and Yue Huang and Xuejun Ryan Ji and Yanhui Guo and Bradley Kaptur},
  year   = {2025},
  eprint = {2504.20276},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2504.20276v1}
}

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