4 papers
LLM-Based Visualization Evaluation: How Well Do Literacy-Stratified Personas Approximate Human Judgments?
Swaroop Panda
Evaluating data visualizations across diverse user populations continues to pose a significant methodological challenge within visualization research. We propose a theorized evalua…
Making AI Agents Evaluate Misleading Charts without Nudging
Swaroop Panda
AI agents are increasingly used as low-cost proxies for early visualization evaluation. In an initial study of deliberately flawed charts, we test whether agents spontaneously pena…
Leveraging LLMs for Persona-Based Visualization of Election Data
Swaroop Panda, Arun Kumar Sekar
Visualizations are essential tools for disseminating information regarding elections and their outcomes, potentially influencing public perceptions. Personas, delineating distincti…
A Deep User Interface for Exploring LLaMa
Divya Perumal, Swaroop Panda
The growing popularity and widespread adoption of large language models (LLMs) necessitates the development of tools that enhance the effectiveness of user interactions with these…