papers

Publications (48)

cs.HC2021

AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization

Aoyu Wu, Yun Wang, Xinhuan Shu +5

Visualizations themselves have become a data format. Akin to other data formats such as text and images, visualizations are increasingly created, stored, shared, and (re-)used with…

cs.HC2022

VegaFusion: Automatic Server-Side Scaling for Interactive Vega Visualizations

Nicolas Kruchten, Jon Mease, Dominik Moritz

The Vega grammar has been broadly adopted by a growing ecosystem of browser-based visualization tools. However, the reference Vega renderer does not scale well to large datasets (e…

cs.HC2023

Draco 2: An Extensible Platform to Model Visualization Design

Junran Yang, Péter Ferenc Gyarmati, Zehua Zeng +1

Draco introduced a constraint-based framework to model visualization design in an extensible and testable form. It provides a way to abstract design guidelines from theoretical and…

cs.AI2026

Understanding Annotator Safety Policy with Interpretability

Alex Oesterling, Donghao Ren, Yannick Assogba +4

Safety policies define what constitutes safe and unsafe AI outputs, guiding data annotation and model development. However, annotation disagreement is pervasive and can stem from m…

cs.HC2025

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors

Michelle S. Lam, Fred Hohman, Dominik Moritz +3

AI policy sets boundaries on acceptable behavior for AI models, but this is challenging in the context of large language models (LLMs): how do you ensure coverage over a vast behav…

cs.HC2023

Data Navigator: An accessibility-centered data navigation toolkit

Frank Elavsky, Lucas Nadolskis, Dominik Moritz

Making data visualizations accessible for people with disabilities remains a significant challenge in current practitioner efforts. Existing visualizations often lack an underlying…