Minsuk Kahng

Minsuk Kahng

Professor

Visual Analytics, Data Visualization, Responsible AI, Explainable AI, Human-Computer Interaction

  • Ph.D., Computer Science, Georgia Institute of Technology
  • M.S., Computer Science and Engineering, Seoul National University
  • B.S., Electrical and Computer Engineering, Seoul National University

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models
  • Lujain Ibrahim, Canfer Akbulut, Rasmi Elasmar, Charvi Rastogi, Minsuk Kahng, Meredith Ringel Morris, Kevin R McKee, Verena Rieser, Murray Shanahan, Laura Weidinger

  • International Conference on Learning Representations (ICLR 2026)

Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior
Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation
  • Aeree Cho, Grace C. Kim, Alexander Karpekov, Seongmin Lee, Alec Helbling, Benjamin Hoover, Zijie J. Wang, Minsuk Kahng, Duen Horng Chau

  • ACM CHI Conference on Human Factors in Computing Systems (CHI 2026)

COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs
  • Dasol Choi, DongGeon Lee, Brigitta Jesica Kartono, Helena Berndt, Taeyoun Kwon, Joonwon Jang, Haon Park, Hwanjo Yu, Minsuk Kahng

  • arXiv

From Perception to Decision: Assessing the Role of Chart Types Affordances in High-Level Decision Tasks
  • Yixuan Li, Emery D Berger, Minsuk Kahng, Cindy Xiong Bearfield

  • IEEE Visualization and Visual Analytics (VIS 2025)

From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models
  • Jessica Quaye, Charvi Rastogi, Alicia Parrish, Oana Inel, Minsuk Kahng, Lora Aroyo, Vijay Janapa Reddi

  • arXiv

LLM Adoption in Data Curation Workflows: Industry Practices and Insights
  • Crystal Qian, Michael Xieyang Liu, Emily Reif, Grady Simon, Nada Hussein, Nathan Clement, James Wexler, Carrie J. Cai, Michael Terry, Minsuk Kahng

  • Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25)

LLM Attributor: Interactive Visual Attribution for LLM Generation
  • Seongmin Lee, Zijie J Wang, Aishwarya Chakravarthy, Alec Helbling, ShengYun Peng, Mansi Phute, Duen Horng Chau, Minsuk Kahng

  • Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2025)

LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models
  • Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon

  • IEEE Transactions on Visualization and Computer Graphics (VIS 2024)

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation
  • Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo

  • ACM Conference on Fairness, Accountability, and Transparency (FAccT 2024)

Automatic Histograms: Leveraging Language Models for Text Dataset Exploration
  • Emily Reif, Crystal Qian, James Wexler, Minsuk Kahng

  • Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24)

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
  • Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon

  • Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24)

Understanding the Dataset Practitioners Behind Large Language Models
  • Crystal Qian, Emily Reif, Minsuk Kahng

  • Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24)

Interactive Prompt Debugging with Sequence Salience
  • Ian Tenney, Ryan Mullins, Bin Du, Shree Pandya, Minsuk Kahng, Lucas Dixon

  • arXiv