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Young Jin Kim 0001
Person information
- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
Other persons with the same name
- Young Jin Kim — disambiguation page
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2020 – today
- 2024
- [c8]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 - [i13]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) - 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 2024-08-08 19:19 CEST by the dblp team
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