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Agent4S: The Transformation of Research Paradigms from the Perspective of Large Language Models

  • arXiv (Cornell University)
  • Cornell University
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While AI for Science (AI4S) serves as an analytical tool in the current research paradigm, it doesn't solve its core inefficiency. We propose "Agent for Science" (Agent4S)-the use of LLM-driven agents to automate the entire research workflow-as the true Fifth Scientific Paradigm. This paper introduces a five-level classification for Agent4S, outlining a clear roadmap from simple task automation to fully autonomous, collaborative "AI Scientists." This framework defines the next revolutionary step in scientific discovery.

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DOI
10.48550/arxiv.2506.23692
OpenAlex
W4416518569
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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