| 2025 | AISTATS | Bayesian Principles Improve Prompt Learning In Vision-Language Models. | Mingyu Kim, Jongwoo Ko, Mijung Park |
| 2025 | ICLR | Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge. | Aparna Elangovan, Lei Xu, Jongwoo Ko, Mahsa Elyasi, Ling Liu, Sravan Babu Bodapati, Dan Roth |
| 2025 | ICLR | SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins. | Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati, Aram Galstyan |
| 2025 | ICML | DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs. | Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun |
| 2024 | EMNLP | Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models. | Yongjin Yang, Jongwoo Ko, Se-Young Yun |
| 2024 | ICML | DistiLLM: Towards Streamlined Distillation for Large Language Models. | Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun |
| 2024 | IJCAI | Fine-tuning Pre-trained Models for Robustness under Noisy Labels. | Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun |
| 2023 | AAAI | Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. | Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun |
| 2023 | AAAI | A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise. | Jongwoo Ko, Bongsoo Yi, Se-Young Yun |
| 2023 | EACL | Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. | Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun |
| 2023 | EMNLP | Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. | Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun |
| 2023 | EMNLP | NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. | Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun |
| 2023 | ICLR | CUDA: Curriculum of Data Augmentation for Long-tailed Recognition. | Sumyeong Ahn, Jongwoo Ko, Se-Young Yun |
| 2022 | EMNLP | Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. | Jaehoon Oh, Jongwoo Ko, Se-Young Yun |