Large language models empowering scientific research efficiency:functional analysis and innovative ap-plications of Luoshu writing
Huang Zizhen
Yusupujiang Tuersun
Li Lu
Chang Jinghui
He Wenjun
Abstract：Scientific writing is an essential skill for researchers,yet mastering it requires significant time and effort study and practice.The emergence of large language models(LLM)of artificial intelligence(AI)has driven a paradigm shift in scientific writing,enabling researchers to draft and refine academic texts more efficiently.Luoshu writing Platform is taken as a case to investigate how LLM enhances scientific writing,optimizes research workflows and improves the efficiency of academic output.The application of technologies such as Prompt Engineering,retrieval-augmented generation(RAG),multi-agent systems and multimodal techniques are demonstrated in literature review,SCI paper writing,email drafting and more through hands-on practice.Meanwhile,the ethical challenges associated with LLM are discussed.Researchers must maintain critical thinking,use AI tools judiciously and avoid overreliance.The academic community and policymakers should establish relevant standards and regulations to ensure the specification use and healthy development of AI in scientific writing.Through collective efforts,the deep integration of AI and scientific writing will drive scientific research to new heights.
Keywords：Large language modelsScientific writingArtificial intelligence
Publication Date：2025-04-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 407-412,418 )