AI Research
Crystalis: Progressive Nucleation and Semantic Annealing for Coordinated Multi-View Visualization Generation
Large language models (LLMs) can generate individual charts, but coordinated multi-view visualizations (CMVs), where views share data flows and cross-view interactions, remain out of reach. Tight field-level coupling among data transformations, visual encodings, and interaction c...
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ArXiv CS.AI
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ArXiv CS.AI
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This research tackles the significant challenge of generating coordinated multi-view visualizations (CMVs), which have been a bottleneck for AI due to complex interdependencies. Crystalis introduces a novel framework that systematically decomposes and validates CMV generation, improving LLM reliability for complex visual analysis.
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