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V. Setlur

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#artificial intelligence Preprint Sep 2026

Lexara-RF: Reference-Free Metrics for Evaluating Conversational Visual Analytics Agents

This work introduces Lexara-RF, a reference-free set of metrics that scores CVA outputs using only the prompt, data, and model response, and reformulate evaluation as verification: 13 metrics operationalize visualization design theory and Gricean cooperative principles as computable consistency, intent-alignment, and d...

Srishti Palani, V. Setlur · 0 citations
Preprint Aug 2026

AI Agents and the Future of VIS

This workshop invites researchers and practitioners to share innovative ideas, explore questions, and discuss strategies to transform the impact of VIS for a future where human and AI agents co-exist.

Zhu-Tian Chen, Nam Wook Kim, S. Boorboor et al. · 1 citation

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