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Automated Analysis Framework for Multilingual Climate-Health Literature Based on Multi-Agent Large Language Model

arXiv · AI, language, vision and robotics · article · Aug 28, 2026 · UTC

The rapid proliferation of interdisciplinary and multilingual scientific literature has left traditional manual analysis and single-algorithm methods plagued by low efficiency, poor scalability, and insufficient domain adaptability. Targeting the literature analysis needs of the typical interdisciplinary climate-health field, this study proposes a multi-agent large language model automated analysis framework for multilingual scientific literature, which realizes full-process automation covering literature screening, structured information extraction, and standardized integration. With a centra

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