Kim, Jeonghoon

9 publications

MLJ 2025 An Empirical Study on Impact of Label Noise on Synthetic Tabular Data Generation Jeonghoon Kim, Chao Huang, Xin Liu

NeurIPS 2025 Exploiting Vocabulary Frequency Imbalance in Language Model Pre-Training Woojin Chung, Jeonghoon Kim

ICML 2025 Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo

ICLR 2024 LUT-GEMM: Quantized Matrix Multiplication Based on LUTs for Efficient Inference in Large-Scale Generative Language Models Gunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee

ICLR 2024 Rethinking Channel Dimensions to Isolate Outliers for Low-Bit Weight Quantization of Large Language Models Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee

ECCV 2024 Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im

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

ICLR 2023 Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic Yulhwa Kim, Jaeyong Jang, Jehun Lee, Jihoon Park, Jeonghoon Kim, Byeongwook Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Jae-Joon Kim