| 2025 | ICML | Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models. | Mingi Jung, Saehyung Lee, Eunji Kim, Sungroh Yoon |
| 2025 | ICML | Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage. | Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon |
| 2025 | NAACL | Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context. | Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park, Sungroh Yoon |
| 2024 | ACL | Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach. | Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon |
| 2024 | ICLR | Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. | Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon |
| 2024 | ICLR | DAFA: Distance-Aware Fair Adversarial Training. | Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon |
| 2023 | WACV | Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training. | Saehyung Lee, Hyungyu Lee |
| 2022 | ICML | Dataset Condensation with Contrastive Signals. | Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon |
| 2021 | ICLR | Removing Undesirable Feature Contributions Using Out-of-Distribution Data. | Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon |
| 2020 | CVPR | Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. | Saehyung Lee, Hyungyu Lee, Sungroh Yoon |