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Multi-agent LLM framework generates Vietnamese folk art images and stories
A new arXiv paper introduces ViFA-Council, a three-stage multi-agent system that coordinates several large language models to handle two culturally grounded generative tasks: outpainting images and writing educational stories based on traditional Vietnamese folk art. The work is positioned as an approach to culturally specific generation using LLM deliberation rather than a single model. It is a research preprint and has not been peer reviewed.