5 papers
A Typology of Decision-Making Tasks for Visualization
Camelia D. Brumar, Sam Molnar, Gabriel Appleby +2
Despite decision-making being a vital goal of data visualization, little work has been done to differentiate decision-making tasks within the field. While visualization task taxono…
The Role of Visualization in LLM-Assisted Knowledge Graph Systems: Effects on User Trust, Exploration, and Workflows
Harry Li, Gabriel Appleby, Kenneth Alperin +2
Knowledge graphs (KGs) are powerful data structures, but exploring them effectively remains difficult for even expert users. Large language models (LLMs) are increasingly used to a…
Mitigating LLM Hallucinations with Knowledge Graphs: A Case Study
Harry Li, Gabriel Appleby, Kenneth Alperin +2
High-stakes domains like cyber operations need responsible and trustworthy AI methods. While large language models (LLMs) are becoming increasingly popular in these domains, they s…
Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts
Ashley Suh, Gabriel Appleby, Erik W. Anderson +3
Presenting a predictive model's performance is a communication bottleneck that threatens collaborations between data scientists and subject matter experts. Accuracy and error metri…
LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering
Harry Li, Gabriel Appleby, Ashley Suh
We present LinkQ, a system that leverages a large language model (LLM) to facilitate knowledge graph (KG) query construction through natural language question-answering. Traditiona…