基本信息
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职业迁徙
个人简介
My research aims to build and improve generative AI. We are interested primarily in tasks that involve text generation, historically translation, summarization, and data-to-text generation. Methodologically, we study data-driven probabilistic methods that combine deep-learning based models with probabilistic controls.
I am also interested in open-source NLP and deep learning, and develop projects to make deep learning systems safer, more clear, and easier to use.
I am also interested in open-source NLP and deep learning, and develop projects to make deep learning systems safer, more clear, and easier to use.
研究兴趣
论文共 169 篇作者统计合作学者相似作者
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arxiv(2024)
引用0浏览0引用
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EMNLP 2023 (2023): 311-317
引用0浏览0EI引用
0
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Jing Nathan Yan,Tianqi Liu,Justin T. Chiu,Jiaming Shen,Zhen Qin ,Yue Yu,Yao Zhao, Charu Lakshmanan, Yair Kurzion,Alexander M. Rush,Jialu Liu,Michael Bendersky
CoRR (2023)
引用0浏览0EI引用
0
0
arXiv (Cornell University) (2023)
引用49浏览0EI引用
49
0
Celine Lee,Abdulrahman Mahmoud, Michal Kurek,Simone Campanoni,David Brooks,Stephen Chong,Gu-Yeon Wei,Alexander M. Rush
arxiv(2023)
引用0浏览0引用
0
0
CoRR (2023): 6253-6267
引用1浏览0EI引用
1
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ISSCCpp.342-343, (2023)
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D-Core
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