3 papers
cs.LG2026
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…
cs.HC2025
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…
cs.HC2024
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…