Æȷοì
Jung Hyun Lee
Jung Hyun Lee
Qualcomm AI Research
qti.qualcomm.comÀÇ À̸ÞÀÏ È®ÀÎµÊ - ȨÆäÀÌÁö
Á¦¸ñ
Àοë
Àοë
¿¬µµ
Memory-efficient fine-tuning of compressed large language models via sub-4-bit integer quantization
J Kim, JH Lee, S Kim, J Park, KM Yoo, SJ Kwon, D Lee
Advances in Neural Information Processing Systems 36, 2024
942024
Flexround: Learnable rounding based on element-wise division for post-training quantization
JH Lee, J Kim, SJ Kwon, D Lee
International Conference on Machine Learning, 18913-18939, 2023
302023
Cluster-promoting quantization with bit-drop for minimizing network quantization loss
JH Lee, J Yun, SJ Hwang, E Yang
Proceedings of the IEEE/CVF International Conference on Computer Vision ¡¦, 2021
142021
HyperCLOVA X Technical Report
KM Yoo, J Han, S In, H Jeon, J Jeong, J Kang, H Kim, KM Kim, M Kim, ...
arXiv preprint arXiv:2404.01954, 2024
62024
Compressed sensing via measurement-conditional generative models
KS Kim, JH Lee, E Yang
IEEE Access 9, 155335-155352, 2021
42021
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
JH Lee, J Kim, JY Yang, SJ Kwon, E Yang, KM Yoo, D Lee
arXiv preprint arXiv:2407.11534, 2024
32024
Label-Noise Robust Diffusion Models
B Na, Y Kim, HS Bae, JH Lee, SJ Kwon, W Kang, IC Moon
arXiv preprint arXiv:2402.17517, 2024
32024
Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models
JH Lee, JY Yang, B Heo, D Han, KM Yoo
arXiv preprint arXiv:2407.12863, 2024
12024
ÇöÀç ½Ã½ºÅÛÀÌ ÀÛµ¿µÇÁö ¾Ê½À´Ï´Ù. ³ªÁß¿¡ ´Ù½Ã ½ÃµµÇØ ÁÖ¼¼¿ä.
ÇмúÀÚ·á 1–8