| 2026 | ACL | 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 |
| 2026 | ACL | What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models. | Dasol Choi, Guijin Son, Hanwool Lee, Minhyuk Kim, Hyunwoo Ko, Teabin Lim, Eungyeol Ahn, Jungwhan Kim, Seunghyeok Hong, Youngsook Song |
| 2026 | LREC | Redefining Evaluation Standards: A Unified Framework for Evaluating the Korean Capabilities of Language Models. | Hanwool Lee, Dasol Choi, Sooyong Kim, Ilgyun Jung, Sangwon Baek, Guijin Son, Inseong Hwang, Naeun Lee, Seunghyeok Hong |
| 2026 | WACV | Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition. | Dasol Choi, Seunghyun Lee, Youngsook Song |
| 2025 | AAAI | Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting. | Dasol Choi, Dongbin Na |
| 2024 | CVPR | Towards Efficient Machine Unlearning with Data Augmentation: Guided Loss-Increasing (GLI) to Prevent the Catastrophic Model Utility Drop. | Dasol Choi, Soora Choi, Eunsun Lee, Jinwoo Seo, Dongbin Na |
| 2024 | CVPR | DMR: Disentangling Marginal Representations for Out-of-Distribution Detection. | Dasol Choi, Dongbin Na |