data binding integrity 1natural language interaction 1post-render refinement 1provenance tracking 1visualization authoring 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.HC2026
TailVis: Expressive Chart Refinement Preserving Data-Binding Integrity
Yumin Song, Seokhyeon Park, Soohyun Lee +4
TailVis is a visualization authoring tool that lets users make fine-grained, expressive edits to static charts while keeping the link between data and visual elements intact, using…
cs.HC2024
One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
Yoonjoo Lee, Kihoon Son, Tae Soo Kim +4
As Large Language Models (LLMs) are nondeterministic, the same input can generate different outputs, some of which may be incorrect or hallucinated. If run again, the LLM may corre…