AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain. - Jimin Hong; Taehee Kim; Hyesu Lim; Jaegul Choo (EMNLP (1), 2021)

TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. - Hyesu Lim; Byeonggeun Kim; Jaegul Choo; Sungha Choi (ICLR, 2023)

PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration. - Minseok Choi; Hyesu Lim; Jaegul Choo (IJCNLP (Findings), 2023)

Towards Calibrated Robust Fine-Tuning of Vision-Language Models. - Changdae Oh; Mijoo Kim; Hyesu Lim; Junhyeok Park; Euiseog Jeong; Zhi-Qi Cheng; Kyungwoo Song (CoRR, 2023)

Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering. - ChaeHun Park; Koanho Lee; Hyesu Lim; Jaeseok Kim; Junmo Park; Yu-Jung Heo; Du-Seong Chang; Jaegul Choo (ACL (Findings), 2024)

Towards Calibrated Robust Fine-Tuning of Vision-Language Models. - Changdae Oh; Hyesu Lim; Mijoo Kim; Dongyoon Han; Sangdoo Yun; Jaegul Choo; Alexander Hauptmann 001; Zhi-Qi Cheng; Kyungwoo Song (NeurIPS, 2024)

Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images. - Wonwoo Cho; Dongmin Choi; Hyesu Lim; Jinho Choi 005; Saemee Choi; Hyunseok Min; Sungbin Lim; Jaegul Choo (WACV, 2024)

Sparse autoencoders reveal selective remapping of visual concepts during adaptation. - Hyesu Lim; Jinho Choi 005; Jaegul Choo; Steffen Schneider 004 (ICLR, 2025)

CytoSAE: Interpretable Cell Embeddings for Hematology. - Muhammed Furkan Dasdelen; Hyesu Lim; Michèle Buck; Katharina S. Götze; Carsten Marr; Steffen Schneider 004 (CoRR, 2025)