69 citations · 350 across the 44 of their papers we have counts for
11 papers · 1 filter
Structured Visualization Design Knowledge for Grounding Generative Reasoning and Situated Feedback
Péter Ferenc Gyarmati, Dominik Moritz, Torsten Möller +1
Automated visualization design navigates a tension between symbolic systems and generative models. Constraint solvers enforce structural and perceptual validity, but the rules they…
Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language
Angie Boggust, Donghao Ren, Yannick Assogba +3
Automated interpretability aims to translate large language model (LLM) features into human understandable descriptions. However, natural language feature descriptions can be vague…
A Composable Agentic System for Automated Visual Data Reporting
Péter Ferenc Gyarmati, Dominik Moritz, Torsten Möller +1
To address the brittleness of monolithic AI agents, our prototype for automated visual data reporting explores a Human-AI Partnership model. Its hybrid, multi-agent architecture st…
Apple Intelligence Foundation Language Models: Tech Report 2025
Ethan Li, Anders Boesen Lindbo Larsen, Chen Zhang +395
We introduce two multilingual, multimodal foundation language models that power Apple Intelligence features across Apple devices and services: i a 3B-parameter on-device model opti…
EncQA: Benchmarking Vision-Language Models on Visual Encodings for Charts
Kushin Mukherjee, Donghao Ren, Dominik Moritz +1
Multimodal vision-language models (VLMs) continue to achieve ever-improving scores on chart understanding benchmarks. Yet, we find that this progress does not fully capture the bre…
Mosaic Selections: Managing and Optimizing User Selections for Scalable Data Visualization Systems
Jeffrey Heer, Dominik Moritz, Ron Pechuk
Though powerful tools for analysis and communication, interactive visualizations often fail to support real-time interaction with large datasets with millions or more records. To h…
A Scalable Approach to Clustering Embedding Projections
Donghao Ren, Fred Hohman, Dominik Moritz
Interactive visualization of embedding projections is a useful technique for understanding data and evaluating machine learning models. Labeling data within these visualizations is…
Embedding Atlas: Low-Friction, Interactive Embedding Visualization
Donghao Ren, Fred Hohman, Halden Lin +1
Embedding projections are popular for visualizing large datasets and models. However, people often encounter "friction" when using embedding visualization tools: (1) barriers to ad…
Texture: Structured Exploration of Text Datasets
Will Epperson, Arpit Mathur, Adam Perer +1
Exploratory analysis of a text corpus is essential for assessing data quality and developing meaningful hypotheses. Text analysis relies on understanding documents through structur…
InterLink: Linking Text with Code and Output in Computational Notebooks
Yanna Lin, Leni Yang, Haotian Li +2
Computational notebooks, widely used for ad-hoc analysis and often shared with others, can be difficult to understand because the standard linear layout is not optimized for readin…
Towards softerware: Enabling personalization of interactive data representations for users with disabilities
Frank Elavsky, Marita Vindedal, Ted Gies +3
Accessible design for some may still produce barriers for others. This tension, called access friction, creates challenges for both designers and end-users with disabilities. To ad…