1 citations · 2 across the 3 of their papers we have counts for
3 papers
Jupybara: Operationalizing a Design Space for Actionable Data Analysis and Storytelling with LLMs
Huichen Will Wang, Larry Birnbaum, Vidya Setlur
Mining and conveying actionable insights from complex data is a key challenge of exploratory data analysis (EDA) and storytelling. To address this challenge, we present a design sp…
Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
Yunzhuo Hao, Jiawei Gu, Huichen Will Wang +4
The ability to organically reason over and with both text and images is a pillar of human intelligence, yet the ability of Multimodal Large Language Models (MLLMs) to perform such…
How Aligned are Human Chart Takeaways and LLM Predictions? A Case Study on Bar Charts with Varying Layouts
Huichen Will Wang, Jane Hoffswell, Sao Myat Thazin Thane +2
Large Language Models (LLMs) have been adopted for a variety of visualizations tasks, but how far are we from perceptually aware LLMs that can predict human takeaways? Graphical pe…