Ko, Jongwoo

16 publications

ICLR 2026 WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference Sihan Chen, Dan Zhao, Jongwoo Ko, Colby Banbury, Huiping Zhuang, Luming Liang, Pashmina Cameron, Tianyi Chen

AISTATS 2025 Bayesian Principles Improve Prompt Learning in Vision-Language Models Mingyu Kim, Jongwoo Ko, Mijung Park

ICLR 2025 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

ICML 2025 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

NeurIPS 2025 Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators Jongwoo Ko, Sungnyun Kim, Sungwoo Cho, Se-Young Yun

ICLR 2025 SeRA: Self-Reviewing and Alignment of LLMs Using Implicit Reward Margins Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati, Aram Galstyan

ICLRW 2025 When Debate Fails: Bias Reinforcement in Large Language Models Jihwan Oh, Minchan Jeong, Jongwoo Ko, Se-Young Yun

ICML 2024 DistiLLM: Towards Streamlined Distillation for Large Language Models Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun

IJCAI 2024 Fine-Tuning Pre-Trained Models for Robustness Under Noisy Labels Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun

AAAI 2023 A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier Under Label Noise Jongwoo Ko, Bongsoo Yi, Se-Young Yun

ICLR 2023 CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn, Jongwoo Ko, Se-Young Yun

ICLRW 2023 Efficient Utilization of Pre-Trained Model for Learning with Noisy Labels Jongwoo Ko, Sumyeong Ahn, Se-Young Yun

AAAI 2023 Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-Network Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun

NeurIPSW 2022 CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn, Jongwoo Ko, Se-Young Yun

NeurIPSW 2022 CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn, Jongwoo Ko, Se-Young Yun

NeurIPS 2021 FINE Samples for Learning with Noisy Labels Taehyeon Kim, Jongwoo Ko, Sangwook Cho, JinHwan Choi, Se-Young Yun