Lee, Jung Hyun

5 publications

ICLR 2025 Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kyungsu Kim, Eunho Yang, Kang Min Yoo

ICLR 2024 Label-Noise Robust Diffusion Models Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-chul Moon

ICML 2023 FlexRound: Learnable Rounding Based on Element-Wise Division for Post-Training Quantization Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee

NeurIPS 2023 Memory-Efficient Fine-Tuning of Compressed Large Language Models via Sub-4-Bit Integer Quantization Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee

ICCV 2021 Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang