| 2025 | EMNLP | Beyond Fixed-Length Calibration for Post-Training Compression of LLMs. | Jaehoon Oh, Dokwan Oh |
| 2025 | ICML | OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference. | Seungjun Shin, Jaehoon Oh, Dokwan Oh |
| 2024 | CVPR | FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning. | Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun |
| 2024 | EMNLP | BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization. | Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, SangMook Kim, Se-Young Yun |
| 2022 | CIKM | ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. | Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun |
| 2022 | EMNLP | Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. | Jaehoon Oh, Jongwoo Ko, Se-Young Yun |
| 2022 | ICLR | FedBABU: Toward Enhanced Representation for Federated Image Classification. | Jaehoon Oh, Sangmook Kim, Se-Young Yun |
| 2021 | ICLR | BOIL: Towards Representation Change for Few-shot Learning. | Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun |
| 2021 | IJCAI | Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. | Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun |
| 2020 | ICDM | SIPA: A Simple Framework for Efficient Networks. | Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun |
| 2019 | RecSys | A pipelined hybrid recommender system for ranking the items on the display. | Jaehoon Oh, Sangmook Kim, Se-Young Yun, Seungwoo Choi, Mun Yong Yi |