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October 15, 2025Open Access

The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist

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Authors

HZHui ZhangBC Cancer AgencyRLRutian LiNanjing University of Chinese MedicineYZYang ZhangThird People's Hospital of Yunnan Province

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Implication

Survey reveals LLMs as evaluators and collaborators in scientific processes, suggesting transformative potential.

Key Points

  • LLMs are emerging as crucial players in shaping scientific innovation through various roles.
  • The survey categorizes LLM contributions into three levels: evaluator, collaborator, and scientist.
  • A comprehensive framework clarifies the capability boundaries and human-AI interaction patterns involved.
  • Ethical considerations and challenges regarding autonomous AI-driven science are highlighted.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68ef858cc6a308ba063553b0https://doi.org/10.48550/arxiv.2507.11810
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  3. 3Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study2025
  4. 4The empowerment of Science of Science by large language models: New tools and methods2026
  5. 5A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery2024 · 3 citations