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Multi-Model AI in Chinese Cultural Creativity: Creation and Dissemination

Lejun Cheng, Gaofeng Mi

Abstract


As artificial intelligence evolves from single-model generation to multi-model collaboration, this technology is fundamentally
reshaping the creation and dissemination of Chinese national cultural creativity. This paper proposes a "semantic-symbol-scene" analyti
cal framework to examine how multi-agent collaboration, multi-modal fusion, and cross-cultural adaptation empower cultural production.
Through analysis of three representative casesHeilongjiang Basin indigenous cultures, Dunhuang murals, and Guochao brandsthe re
search demonstrates significant advantages in semantic fidelity (89.7%) and cross-cultural adaptability, while revealing structural challenges
including intellectual property rights and algorithmic bias. The paper proposes a "culture-technology-ethics" governance framework for sus
tainable development.

Keywords


Multi-model AI; Multi-agent collaboration; Chinese national culture; Cultural dissemination; Human-machine co-creation

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References


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DOI: http://dx.doi.org/10.70711/rcha.v4i3.9293

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