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)

DiaryPlay: AI-Assisted Creation of Interactive Story Vignettes for Everyday Storytelling
  • Jiangnan Xu, Haeseul Cha, Gosu Choi, Gyu-cheol Lee, Yeo-Jin Yoon, Zucheul Lee, Konstantinos Papangelis, Dae Hyun Kim, Juho Kim

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

Supporting Multimodal Data Interaction on Refreshable Tactile Displays: An Architecture to Combine Touch and Conversational AI
  • Samuel Reinders, Munazza Zaib, Matthew Butler, Bongshin Lee, Ingrid Zukerman, Lizhen Qu, Kim Marriott

  • arXiv

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)

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

Visualizing information on smartwatch faces: A review and design space
  • Alaul Islam, Tingying He, Anastasia Bezerianos, Tanja Blascheck, Bongshin Lee, Petra Isenberg

  • Information Visualization (SAGE Journals)