Temporal Preference Optimization for Unsupervised Retrieval
HyunJin Kim, Jaejun Shim, Young Jin Kim, JinYeong Bak
ICML 2026 | July 2026
Young Jin Kim
Member of Technical Staff, Microsoft AI
Publications
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Preserving Speech-to-Text LLM Capabilities in Speech-to-Speech Generation
Yuxuan Hu, Heng Lu, Ruchao Fan, Yao Qian, Xiaofei Wang, Jian Xue, Heming Wang, Shuohang Wang, Young Jin Kim, Yelong Shen, Jinyu Li
June 2026
arXiv | June 2026
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Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
Liliang Ren, Congcong Chen, Haoran Xu, Young Jin Kim, Adam Atkinson, Zheng Zhan, Jiankai Sun, Baolin Peng, Liyuan Liu, Shuohang Wang, Hao Cheng, Jianfeng Gao, Weizhu Chen, Yelong Shen
NeurIPS 2025 | July 2025
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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Zichong Li, Chen Liang, Zixuan Zhang, Ilgee Hong, Young Jin Kim, Weizhu Chen, Tuo Zhao
COLM 2025 | July 2025
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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
January 2024
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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
ICML 2024 | January 2024
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FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs
Young Jin Kim, Rawn Henry, Raffy Fahim, Hany Hassan Awadalla
December 2023
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Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness
Young Jin Kim, Raffy Fahim, Hany Hassan Awadalla
December 2023
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Task-Based MoE for Multitask Multilingual Machine Translation
Hai Pham, Young Jin Kim, Subhabrata Mukherjee, David P Woodruff, Barnabas Poczos, Hany Hassan Awadalla
December 2023
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PEMA: Plug-in External Memory Adaptation for Language Models
HyunJin Kim, Young Jin Kim, JinYeong Bak
November 2023
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A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla
Accepted to ICLR 2024 | September 2023
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AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation
Ganesh Jawahar, Subhabrata (Subho) Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks Lakshmanan, V.S., Ahmed Awadallah, Sébastien Bubeck, Jianfeng Gao
ACL 2023 | June 2023
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AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers
Ganesh Jawahar, Subhabrata (Subho) Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Awadallah, Sébastien Bubeck, Jianfeng Gao
ACL | May 2023
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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
February 2023
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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
December 2022
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Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU
Hossam Amer, Young Jin Kim, Mohamed Afify, Hitokazu Matsushita, Hany Hassan Awadalla
AMTA | August 2022
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Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
Rui Liu, Young Jin Kim, Alexandre Muzio, Hany Hassan Awadalla
ICML 2022 | July 2022
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Taming Sparsely Activated Transformer with Stochastic Experts
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan Awadalla, Ruofei Zhang, Tuo Zhao, Jianfeng Gao
ICLR 2022 | April 2022
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Taming Sparsely Activated Transformer with Stochastic Experts.
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao, Hany Hassan Awadalla
October 2021
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Scalable and Efficient MoE Training for Multitask Multilingual Models
Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Felipe Cruz Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla
September 2021
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FastFormers: Highly Efficient Transformer Models for Natural Language Understanding
Young Jin Kim, Hany Hassan Awadalla
SustaiNLP - EMNLP | November 2020
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Time- and space-parallel simulation of air traffic networks
Young Jin Kim, Dimitri Mavris, Richard Fujimoto
SIMULATION (SAGE) | December 2019, Vol 95(12): pp. 1213-1228
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From Research to Production and Back: Ludicrously Fast Neural Machine Translation
Young Jin Kim, Marcin Junczys-Dowmunt, Hany Hassan Awadalla, Alham Fikri Aji, Kenneth Heafield, Roman Grundkiewicz, Nikolay Bogoychev
WNGT - EMNLP | November 2019
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Preserving Speech-to-Text LLM Capabilities in Speech-to-Speech Generation
Yuxuan Hu, Heng Lu, Ruchao Fan, Yao Qian, Xiaofei Wang, Jian Xue, Heming Wang, Shuohang Wang, Young Jin Kim, Yelong Shen, Jinyu Li
June 2026
arXiv | June 2026
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Temporal Preference Optimization for Unsupervised Retrieval
HyunJin Kim, Jaejun Shim, Young Jin Kim, JinYeong Bak
ICML 2026 | July 2026
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Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
Liliang Ren, Congcong Chen, Haoran Xu, Young Jin Kim, Adam Atkinson, Zheng Zhan, Jiankai Sun, Baolin Peng, Liyuan Liu, Shuohang Wang, Hao Cheng, Jianfeng Gao, Weizhu Chen, Yelong Shen
NeurIPS 2025 | July 2025
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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Zichong Li, Chen Liang, Zixuan Zhang, Ilgee Hong, Young Jin Kim, Weizhu Chen, Tuo Zhao
COLM 2025 | July 2025
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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
January 2024
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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
ICML 2024 | January 2024
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Task-Based MoE for Multitask Multilingual Machine Translation
Hai Pham, Young Jin Kim, Subhabrata Mukherjee, David P Woodruff, Barnabas Poczos, Hany Hassan Awadalla
December 2023
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FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs
Young Jin Kim, Rawn Henry, Raffy Fahim, Hany Hassan Awadalla
December 2023
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Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness
Young Jin Kim, Raffy Fahim, Hany Hassan Awadalla
December 2023
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PEMA: Plug-in External Memory Adaptation for Language Models
HyunJin Kim, Young Jin Kim, JinYeong Bak
November 2023
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A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla
Accepted to ICLR 2024 | September 2023
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AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation
Ganesh Jawahar, Subhabrata (Subho) Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks Lakshmanan, V.S., Ahmed Awadallah, Sébastien Bubeck, Jianfeng Gao
ACL 2023 | June 2023
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AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers
Ganesh Jawahar, Subhabrata (Subho) Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Awadallah, Sébastien Bubeck, Jianfeng Gao
ACL | May 2023
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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
February 2023
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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
December 2022
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Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
Rui Liu, Young Jin Kim, Alexandre Muzio, Hany Hassan Awadalla
ICML 2022 | July 2022
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Taming Sparsely Activated Transformer with Stochastic Experts
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan Awadalla, Ruofei Zhang, Tuo Zhao, Jianfeng Gao
ICLR 2022 | April 2022
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Taming Sparsely Activated Transformer with Stochastic Experts.
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao, Hany Hassan Awadalla
October 2021
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Scalable and Efficient MoE Training for Multitask Multilingual Models
Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Felipe Cruz Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla
September 2021
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FastFormers: Highly Efficient Transformer Models for Natural Language Understanding
Young Jin Kim, Hany Hassan Awadalla
SustaiNLP - EMNLP | November 2020
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From Research to Production and Back: Ludicrously Fast Neural Machine Translation
Young Jin Kim, Marcin Junczys-Dowmunt, Hany Hassan Awadalla, Alham Fikri Aji, Kenneth Heafield, Roman Grundkiewicz, Nikolay Bogoychev
WNGT - EMNLP | November 2019
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AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers
Ganesh Jawahar, Subhabrata (Subho) Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Awadallah, Sébastien Bubeck, Jianfeng Gao
ACL | May 2023
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Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU
Hossam Amer, Young Jin Kim, Mohamed Afify, Hitokazu Matsushita, Hany Hassan Awadalla
AMTA | August 2022
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Taming Sparsely Activated Transformer with Stochastic Experts
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan Awadalla, Ruofei Zhang, Tuo Zhao, Jianfeng Gao
ICLR 2022 | April 2022
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Taming Sparsely Activated Transformer with Stochastic Experts.
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao, Hany Hassan Awadalla
October 2021
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Scalable and Efficient MoE Training for Multitask Multilingual Models
Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Felipe Cruz Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla
September 2021
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FastFormers: Highly Efficient Transformer Models for Natural Language Understanding
Young Jin Kim, Hany Hassan Awadalla
SustaiNLP - EMNLP | November 2020
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From Research to Production and Back: Ludicrously Fast Neural Machine Translation
Young Jin Kim, Marcin Junczys-Dowmunt, Hany Hassan Awadalla, Alham Fikri Aji, Kenneth Heafield, Roman Grundkiewicz, Nikolay Bogoychev
WNGT - EMNLP | November 2019
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Time- and space-parallel simulation of air traffic networks
Young Jin Kim, Dimitri Mavris, Richard Fujimoto
SIMULATION (SAGE) | December 2019, Vol 95(12): pp. 1213-1228
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-
Preserving Speech-to-Text LLM Capabilities in Speech-to-Speech Generation
Yuxuan Hu, Heng Lu, Ruchao Fan, Yao Qian, Xiaofei Wang, Jian Xue, Heming Wang, Shuohang Wang, Young Jin Kim, Yelong Shen, Jinyu Li
June 2026
arXiv | June 2026
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Temporal Preference Optimization for Unsupervised Retrieval
HyunJin Kim, Jaejun Shim, Young Jin Kim, JinYeong Bak
ICML 2026 | July 2026
-
Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
Liliang Ren, Congcong Chen, Haoran Xu, Young Jin Kim, Adam Atkinson, Zheng Zhan, Jiankai Sun, Baolin Peng, Liyuan Liu, Shuohang Wang, Hao Cheng, Jianfeng Gao, Weizhu Chen, Yelong Shen
NeurIPS 2025 | July 2025
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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Zichong Li, Chen Liang, Zixuan Zhang, Ilgee Hong, Young Jin Kim, Weizhu Chen, Tuo Zhao
COLM 2025 | July 2025
-
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
ICML 2024 | January 2024
-
Task-Based MoE for Multitask Multilingual Machine Translation
Hai Pham, Young Jin Kim, Subhabrata Mukherjee, David P Woodruff, Barnabas Poczos, Hany Hassan Awadalla
December 2023
-
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla
Accepted to ICLR 2024 | September 2023
-
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation
Ganesh Jawahar, Subhabrata (Subho) Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks Lakshmanan, V.S., Ahmed Awadallah, Sébastien Bubeck, Jianfeng Gao
ACL 2023 | June 2023
-
AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers
Ganesh Jawahar, Subhabrata (Subho) Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Awadallah, Sébastien Bubeck, Jianfeng Gao
ACL | May 2023
-
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
December 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
AMTA | August 2022
-
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
Rui Liu, Young Jin Kim, Alexandre Muzio, Hany Hassan Awadalla
ICML 2022 | July 2022
-
Taming Sparsely Activated Transformer with Stochastic Experts
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan Awadalla, Ruofei Zhang, Tuo Zhao, Jianfeng Gao
ICLR 2022 | April 2022
-
Taming Sparsely Activated Transformer with Stochastic Experts.
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao, Hany Hassan Awadalla
October 2021
-
FastFormers: Highly Efficient Transformer Models for Natural Language Understanding
Young Jin Kim, Hany Hassan Awadalla
SustaiNLP - EMNLP | November 2020
-
From Research to Production and Back: Ludicrously Fast Neural Machine Translation
Young Jin Kim, Marcin Junczys-Dowmunt, Hany Hassan Awadalla, Alham Fikri Aji, Kenneth Heafield, Roman Grundkiewicz, Nikolay Bogoychev
WNGT - EMNLP | November 2019
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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
January 2024
-
FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs
Young Jin Kim, Rawn Henry, Raffy Fahim, Hany Hassan Awadalla
December 2023
-
Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness
Young Jin Kim, Raffy Fahim, Hany Hassan Awadalla
December 2023
-
PEMA: Plug-in External Memory Adaptation for Language Models
HyunJin Kim, Young Jin Kim, JinYeong Bak
November 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
February 2023
-
Scalable and Efficient MoE Training for Multitask Multilingual Models
Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Felipe Cruz Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla
September 2021
-
-
-
Time- and space-parallel simulation of air traffic networks
Young Jin Kim, Dimitri Mavris, Richard Fujimoto
SIMULATION (SAGE) | December 2019, Vol 95(12): pp. 1213-1228
-