Young Jin Kim - RankMe

29 papers A* 4Misc 2Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation. CoRR 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
2025	J	`jnl`	Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs. CoRR 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
2025	J	`jnl`	Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math. CoRR 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
2025	J	`jnl`	SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation. CoRR Zichong Li, Chen Liang, Zixuan Zhang, Ilgee Hong, Young Jin Kim, Weizhu Chen, Tuo Zhao
2024	A*	`conf`	A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models. ICLR Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla
2024	A*	`conf`	Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. ICML Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim
2024	J	`jnl`	Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. CoRR Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim
2024	J	`jnl`	GRIN: GRadient-INformed MoE. CoRR Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao Cheng, Xiaodong Liu, Masahiro Tanaka, Xiaoxia Wu, Wenxiang Hu, Vishrav Chaudhary, Zeqi Lin, Chengruidong Zhang, Jilong Xue, Hany Awadalla, Jianfeng Gao, Weizhu Chen
2023	J	`jnl`	A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models. CoRR Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla
2023	—	`conf`	AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation. ACL (Findings) Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao
2023	J	`jnl`	FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs. CoRR Young Jin Kim, Rawn Henry, Raffy Fahim, Hany Hassan Awadalla
2023	J	`jnl`	How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation. CoRR Amr Hendy, Mohamed Abdelrehim, Amr Sharaf, Vikas Raunak, Mohamed Gabr, Hitokazu Matsushita, Young Jin Kim, Mohamed Afify, Hany Hassan Awadalla
2023	J	`jnl`	Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness. CoRR Young Jin Kim, Raffy Fahim, Hany Hassan Awadalla
2023	J	`jnl`	Task-Based MoE for Multitask Multilingual Machine Translation. CoRR Hai Pham, Young Jin Kim, Subhabrata Mukherjee, David P. Woodruff, Barnabás Póczos, Hany Hassan Awadalla
2022	J	`jnl`	AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers. CoRR Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao
2022	Misc	`conf`	Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU. AMTA Hossam Amer, Mohamed Afify, Young Jin Kim, Hitokazu Matsushita, Hany Hassan
2022	J	`jnl`	Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU. CoRR Hossam Amer, Young Jin Kim, Mohamed Afify, Hitokazu Matsushita, Hany Hassan Awadalla
2022	A*	`conf`	Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers. ICML Rui Liu, Young Jin Kim, Alexandre Muzio, Hany Hassan
2022	J	`jnl`	Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers. CoRR Rui Liu, Young Jin Kim, Alexandre Muzio, Barzan Mozafari, Hany Hassan Awadalla
2022	A*	`conf`	Taming Sparsely Activated Transformer with Stochastic Experts. ICLR Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao
2022	J	`jnl`	Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production. CoRR Young Jin Kim, Rawn Henry, Raffy Fahim, Hany Hassan Awadalla
2021	J	`jnl`	Scalable and Efficient MoE Training for Multitask Multilingual Models. CoRR Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Andrés Felipe Cruz-Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla
2021	J	`jnl`	Taming Sparsely Activated Transformer with Stochastic Experts. CoRR Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao
2020	J	`jnl`	FastFormers: Highly Efficient Transformer Models for Natural Language Understanding. CoRR Young Jin Kim, Hany Hassan Awadalla
2019	—	`conf`	From Research to Production and Back: Ludicrously Fast Neural Machine Translation. NGT@EMNLP-IJCNLP Young Jin Kim, Marcin Junczys-Dowmunt, Hany Hassan, Alham Fikri Aji, Kenneth Heafield, Roman Grundkiewicz, Nikolay Bogoychev
2019	J	`jnl`	Time- and space-parallel simulation of air traffic networks. Simul. Young Jin Kim, Dimitri Mavris, Richard Fujimoto
2018	—	`—`	A deep learning and parallel simulation methodology for air traffic management. Young Jin Kim
2017	Misc	`conf`	Time-parallel simulation of air traffic networks. WSC Young Jin Kim, Dimitri Mavris, Richard Fujimoto
2016	—	`conf`	Creation of a decision-support methodology for selecting more-electric aircraft subsystem technologies. SysCon Jeremie Craisse, Simon Kruger, Young Jin Kim, Imon Chakraborty, Simon Briceno, Yongchang Li, Elena Garcia, Dimitri N. Mavris