1 citations · 1 across the 4 of their papers we have counts for
4 papers
Do Reasoning Representations Help Humans Evaluate LLM Outputs?
Jaewoo Lim, Sungbok Shin, Sanghyun Hong
Reasoning representations are increasingly used as explanations for large language model outputs. Yet they are typically evaluated with model-centric criteria, such as answer accur…
Data Therapist: Eliciting Domain Knowledge from Subject Matter Experts Using Large Language Models
Sungbok Shin, Hyeon Jeon, Sanghyun Hong +1
Effective data visualization requires not only technical proficiency but also a deep understanding of the domain-specific context in which data exists. This context often includes…
Visualizationary: Automating Design Feedback for Visualization Designers using LLMs
Sungbok Shin, Sanghyun Hong, Niklas Elmqvist
Interactive visualization editors empower users to author visualizations without writing code, but do not provide guidance on the art and craft of effective visual communication. I…
Perceptual Pat: A Virtual Human System for Iterative Visualization Design
Sungbok Shin, Sanghyun Hong, Niklas Elmqvist
Designing a visualization is often a process of iterative refinement where the designer improves a chart over time by adding features, improving encodings, and fixing mistakes. How…