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ORCIDYoung Jin Kim 0001
Person information
- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
Other persons with the same name
- Young Jin Kim — disambiguation page
- Young Jin Kim 0002
![[0000-0003-3502-5112]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3502-5112")
— Pukyong National University, Department of Systems Management and Engineering, Busan, Korea - Young Jin Kim 0003 — Korea National Institute of Health, Center for Genome Science, Division of Structural and Functional Genomics, Korea
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2020 – today
- 2024
[c9]Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla:
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models. ICLR 2024- [c8]Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim:
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. ICML 2024 - [i14]Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim:
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. CoRR abs/2401.08417 (2024) - [i13]Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao Cheng, Xiaodong Liu, Masahiro Tanaka, Xiaoxia Wu, Wenxiang Hu, Vishrav Chaudhary, Zeqi Lin, Chengruidong Zhang, Jilong Xue, Hany Awadalla, Jianfeng Gao, Weizhu Chen:
GRIN: GRadient-INformed MoE. CoRR abs/2409.12136 (2024) - 2023
- [c7]Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao:
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation. ACL (Findings) 2023: 9116-9132 - [i12]Amr Hendy, Mohamed Abdelrehim, Amr Sharaf, Vikas Raunak, Mohamed Gabr, Hitokazu Matsushita, Young Jin Kim, Mohamed Afify, Hany Hassan Awadalla:
How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation. CoRR abs/2302.09210 (2023) - [i11]Young Jin Kim, Rawn Henry, Raffy Fahim, Hany Hassan Awadalla:
FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs. CoRR abs/2308.09723 (2023) - [i10]Hai Pham, Young Jin Kim, Subhabrata Mukherjee, David P. Woodruff, Barnabás Póczos, Hany Hassan Awadalla:
Task-Based MoE for Multitask Multilingual Machine Translation. CoRR abs/2308.15772 (2023) - [i9]Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla:
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models. CoRR abs/2309.11674 (2023) - [i8]Young Jin Kim, Raffy Fahim, Hany Hassan Awadalla:
Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness. CoRR abs/2310.02410 (2023) - 2022
- [c6]Hossam Amer, Mohamed Afify, Young Jin Kim, Hitokazu Matsushita, Hany Hassan:
Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU. AMTA 2022: 58-69 - [c5]Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao:
Taming Sparsely Activated Transformer with Stochastic Experts. ICLR 2022 - [c4]Rui Liu, Young Jin Kim, Alexandre Muzio, Hany Hassan:
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers. ICML 2022: 13782-13792 - [i7]Rui Liu, Young Jin Kim, Alexandre Muzio, Barzan Mozafari, Hany Hassan Awadalla:
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers. CoRR abs/2205.14336 (2022) - [i6]Hossam Amer, Young Jin Kim, Mohamed Afify, Hitokazu Matsushita, Hany Hassan Awadalla:
Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU. CoRR abs/2208.06874 (2022) - [i5]Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao:
AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers. CoRR abs/2210.07535 (2022) - [i4]Young Jin Kim, Rawn Henry, Raffy Fahim, Hany Hassan Awadalla:
Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production. CoRR abs/2211.10017 (2022) - 2021
- [i3]Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Andrés Felipe Cruz-Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla:
Scalable and Efficient MoE Training for Multitask Multilingual Models. CoRR abs/2109.10465 (2021) - [i2]Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao:
Taming Sparsely Activated Transformer with Stochastic Experts. CoRR abs/2110.04260 (2021) - 2020
- [i1]Young Jin Kim, Hany Hassan Awadalla:
FastFormers: Highly Efficient Transformer Models for Natural Language Understanding. CoRR abs/2010.13382 (2020)
2010 – 2019
- 2019
- [j1]Young Jin Kim, Dimitri Mavris, Richard Fujimoto:
Time- and space-parallel simulation of air traffic networks. Simul. 95(12) (2019) - [c3]Young Jin Kim, Marcin Junczys-Dowmunt, Hany Hassan, Alham Fikri Aji, Kenneth Heafield, Roman Grundkiewicz, Nikolay Bogoychev:
From Research to Production and Back: Ludicrously Fast Neural Machine Translation. NGT@EMNLP-IJCNLP 2019: 280-288 - 2018
- [b1]Young Jin Kim:
A deep learning and parallel simulation methodology for air traffic management. Georgia Institute of Technology, Atlanta, GA, USA, 2018 - 2017
- [c2]Young Jin Kim, Dimitri Mavris, Richard Fujimoto:
Time-parallel simulation of air traffic networks. WSC 2017: 1013-1024 - 2016
- [c1]Jeremie Craisse, Simon Kruger, Young Jin Kim, Imon Chakraborty, Simon Briceno, Yongchang Li, Elena Garcia, Dimitri N. Mavris:
Creation of a decision-support methodology for selecting more-electric aircraft subsystem technologies. SysCon 2016: 1-7
Coauthor Index
aka: Hany Hassan Awadalla
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last updated on 2024-10-21 21:32 CEST by the dblp team
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