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Young Jin Kim 0001
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Publications
- 2025
- [i18]Abdelrahman Abouelenin, Atabak Ashfaq, Adam Atkinson, Hany Awadalla, Nguyen Bach, Jianmin Bao, Alon Benhaim, Martin Cai, Vishrav Chaudhary, Congcong Chen, Dong Chen, Dongdong Chen, Jun-Kun Chen, Weizhu Chen, Yen-Chun Chen, Yi-ling Chen, Qi Dai, Xiyang Dai, Ruchao Fan, Mei Gao, Min Gao, Amit Garg, Abhishek Goswami, Junheng Hao, Amr Hendy, Yuxuan Hu, Xin Jin, Mahmoud Khademi, Dongwoo Kim, Young Jin Kim, Gina Lee, Jinyu Li, Yunsheng Li, Chen Liang, Xihui Lin, Zeqi Lin, Mengchen Liu, Yang Liu, Gilsinia Lopez, Chong Luo, Piyush Madan, Vadim Mazalov, Arindam Mitra, Ali Mousavi, Anh Nguyen, Jing Pan, Daniel Perez-Becker, Jacob Platin, Thomas Portet, Kai Qiu, Bo Ren, Liliang Ren, Sambuddha Roy, Ning Shang, Yelong Shen, Saksham Singhal, Subhojit Som, Xia Song, Tetyana Sych, Praneetha Vaddamanu, Shuohang Wang, Yiming Wang, Zhenghao Wang, Haibin Wu, Haoran Xu, Weijian Xu, Yifan Yang, Ziyi Yang, Donghan Yu, Ishmam Zabir, Jianwen Zhang, Li Lyna Zhang, Yunan Zhang, Xiren Zhou:
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs. CoRR abs/2503.01743 (2025) - [i17]Haoran Xu, Baolin Peng, Hany Awadalla, Dongdong Chen, Yen-Chun Chen, Mei Gao, Young Jin Kim, Yunsheng Li, Liliang Ren, Yelong Shen, Shuohang Wang, Weijian Xu, Jianfeng Gao, Weizhu Chen:
Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math. CoRR abs/2504.21233 (2025) - [i16]Zichong Li, Chen Liang, Zixuan Zhang, Ilgee Hong, Young Jin Kim, Weizhu Chen, Tuo Zhao:
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation. CoRR abs/2506.18349 (2025) - [i15]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:
Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation. CoRR abs/2507.06607 (2025) - 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
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Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. CoRR abs/2401.08417 (2024) - [i13]Liyuan Liu, Young Jin Kim
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
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
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
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers. CoRR abs/2205.14336 (2022) - [i6]Hossam Amer, Young Jin Kim
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
AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers. CoRR abs/2210.07535 (2022) - [i4]Young Jin Kim
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) - 2019
- [c3]Young Jin Kim
From Research to Production and Back: Ludicrously Fast Neural Machine Translation. NGT@EMNLP-IJCNLP 2019: 280-288
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last updated on 2025-11-02 21:16 CET by the dblp team
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