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Young Jin Kim

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

Feb 02, 2024
Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim

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PEMA: Plug-in External Memory Adaptation for Language Models

Nov 14, 2023
HyunJin Kim, Young Jin Kim, JinYeong Bak

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

Oct 03, 2023
Young Jin Kim, Raffy Fahim, Hany Hassan Awadalla

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

Sep 20, 2023
Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla

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Task-Based MoE for Multitask Multilingual Machine Translation

Sep 11, 2023
Hai Pham, Young Jin Kim, Subhabrata Mukherjee, David P. Woodruff, Barnabas Poczos, Hany Hassan Awadalla

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

Aug 16, 2023
Young Jin Kim, Rawn Henry, Raffy Fahim, Hany Hassan Awadalla

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

Feb 18, 2023
Amr Hendy, Mohamed Abdelrehim, Amr Sharaf, Vikas Raunak, Mohamed Gabr, Hitokazu Matsushita, Young Jin Kim, Mohamed Afify, Hany Hassan Awadalla

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

Nov 18, 2022
Young Jin Kim, Rawn Henry, Raffy Fahim, Hany Hassan Awadalla

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