5 citations · 9 across the 5 of their papers we have counts for
5 papers · 1 filter
Chrysalis: A Unified System for Comparing Active Teaching and Passive Learning with AI Agents in Education
Prashanth Arun, Vinita Vader, Erya Xu +6
AI-assisted learning has seen a remarkable uptick over the last few years, mainly due to the rise in popularity of Large Language Models (LLMs). Their ability to hold long-form, na…
AInsight: Augmenting Expert Decision-Making with On-the-Fly Insights Grounded in Historical Data
Mohammad Abolnejadian, Shakiba Amirshahi, Matthew Brehmer +1
In decision-making conversations, experts must navigate complex choices and make on-the-spot decisions while engaged in conversation. Although extensive historical data often exist…
Linting is People! Exploring the Potential of Human Computation as a Sociotechnical Linter of Data Visualizations
Anamaria Crisan, Andrew M. McNutt
Traditionally, linters are code analysis tools that help developers by flagging potential issues from syntax and logic errors to enforcing syntactical and stylistic conventions. Re…
Conversational AI Threads for Visualizing Multidimensional Datasets
Matt-Heun Hong, Anamaria Crisan
Generative Large Language Models (LLMs) show potential in data analysis, yet their full capabilities remain uncharted. Our work explores the capabilities of LLMs for creating and r…
RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations
Camelia D. Brumar, Gabriel Appleby, Jen Rogers +4
Content recommendation tasks increasingly use Graph Neural Networks, but it remains challenging for machine learning experts to assess the quality of their outputs. Visualization s…