Young Jin Kim

According to our database, Young Jin Kim authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation.

Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim

CoRR, 2024

2023

Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness.

Young Jin Kim, Raffy Fahim, Hany Hassan Awadalla

CoRR, 2023

A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models.

Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla

CoRR, 2023

FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs.

Young Jin Kim, Rawn Henry, Raffy Fahim, Hany Hassan Awadalla

CoRR, 2023

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation.

Amr Hendy, Mohamed Abdelrehim, Amr Sharaf, Vikas Raunak, Mohamed Gabr, Hitokazu Matsushita, Young Jin Kim, Mohamed Afify, Hany Hassan Awadalla

CoRR, 2023

2022

Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production.

Young Jin Kim, Rawn Henry, Raffy Fahim, Hany Hassan Awadalla

CoRR, 2022

AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers.

Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao

CoRR, 2022

Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU.

Hossam Amer, Young Jin Kim, Mohamed Afify, Hitokazu Matsushita, Hany Hassan Awadalla

CoRR, 2022

Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers.

Rui Liu, Young Jin Kim, Alexandre Muzio, Barzan Mozafari, Hany Hassan Awadalla

CoRR, 2022

Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers.

Rui Liu, Young Jin Kim, Alexandre Muzio, Hany Hassan

Proceedings of the International Conference on Machine Learning, 2022

2019

Time- and space-parallel simulation of air traffic networks.

Young Jin Kim, Dimitri Mavris, Richard Fujimoto

Simul., 2019

From Research to Production and Back: Ludicrously Fast Neural Machine Translation.

Young Jin Kim, Marcin Junczys-Dowmunt, Hany Hassan, Alham Fikri Aji, Kenneth Heafield, Roman Grundkiewicz, Nikolay Bogoychev

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

2018

A deep learning and parallel simulation methodology for air traffic management.

Young Jin Kim

PhD thesis, 2018

2017

Time-parallel simulation of air traffic networks.

Young Jin Kim, Dimitri Mavris, Richard Fujimoto

Proceedings of the 2017 Winter Simulation Conference, 2017

2016

Creation of a decision-support methodology for selecting more-electric aircraft subsystem technologies.

Jeremie Craisse, Simon Kruger, Young Jin Kim, Imon Chakraborty, Simon Briceno, Yongchang Li, Elena Garcia, Dimitri N. Mavris

Proceedings of the Annual IEEE Systems Conference, 2016