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Lexara-RF: Reference-Free Metrics for Evaluating Conversational Visual Analytics Agents
Conversational visual analytics (CVA) agents powered by large language models generate visualizations and natural-language explanations from open-ended queries. Evaluating these multimodal outputs is challenging: curated reference benchmarks are costly to author, cannot comprehensively capture the s
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