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Found 3 papers, 2 papers with code
Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations
We also designed and implemented an evaluation platform that provides a benchmarking resource for the visualization generation task.
Agnostic Visual Recommendation Systems: Open Challenges and Future Directions
Visualization Recommendation Systems (VRSs) are a novel and challenging field of study aiming to help generate insightful visualizations from data and support non-expert users in information discovery.
Are we certain it's anomalous?
By using uncertainty, HypAD may assess whether it is certain about the input signal but it fails to reconstruct it because this is anomalous; or whether the reconstruction error does not necessarily imply anomaly, as the model is uncertain, e. g. a complex but regular input signal.
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