Duc M. Nguyen, and Sungahn Ko. 2026. Technical Report for AI4Math-2026 Track 3: VeraPhys: Verified Ensemble Repair for Multimodal Physics Reasoning. In AI for Math Workshop @ ICML 2026, Vienna, Austria.
Joohee Kim, Sungbeon Cho, Duc M. Nguyen, Jaehyeong Jeon, Minjeong Shin, and Sungahn Ko. 2026. "Here, Let Me Help": An Empirical Study of User Interventions in Human–Web Agent Collaboration. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, Barcelona, Spain.
Thu Phuong Nguyen, Duc M. Nguyen, Hyotaek Jeon, Hyunwook Lee, Hyunmin Song, Sungahn Ko, and Taehwan Kim. 2025. VEHME: A Vision-Language Model For Evaluating Handwritten Mathematics Expressions. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 31781–31801, Suzhou, China. Association for Computational Linguistics.
Kim, J., Lee, H., Nguyen, D. M., Shin, M., Kwon, B. C., Ko, S., & Elmqvist, N. (2024). Dg comics: Semi-automatically authoring graph comics for dynamic graphs. IEEE Transactions on Visualization and Computer Graphics.
Duc M. Nguyen, and Sungahn Ko. 2024. Technical Report for ICML 2024 Automated Math Reasoning Challenge: Solving Optimization Problems with Open Source Large Language Model. In AI for Math Workshop @ ICML 2024, Vienna, Austria.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA