Lee, Jung Hyun

1. Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
   2023/05/23 by Kim, Jeonghoon, Lee, Jung Hyun, Kim, Sungdong +4 · 7 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization
   2023/06/01 by Jung Hyun Lee, Lee, Jung Hyun, Jeonghoon Kim +5 · 5 citations
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
3. Label-Noise Robust Diffusion Models
   2024/02/27 by Na, Byeonghu, Kim, Yeongmin, Bae, HeeSun +4 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. HyperCLOVA X Technical Report
   2024/04/02 by Kang Min Yoo, Yoo, Kang Min, Jaegeun Han +480 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
5. Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
   2024/07/12 by Lee, Jung Hyun, Yang, June Yong, Heo, Byeongho +4 · 3 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
6. Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss
   2021/09/05 by Lee, Jung Hyun, Yun, Jihun, Hwang, Sung Ju +1 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. Unifying Block-wise PTQ and Distillation-based QAT for Progressive Quantization toward 2-bit Instruction-Tuned LLMs
   2025/06/10 by Lee, Jung Hyun, Shin, Seungjae, Kim, Vinnam +2 · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
   2024/07/16 by Jung Hyun Lee, Lee, Jung Hyun, Jeonghoon Kim +11 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech Recognition and Synthesis #Topic Modeling