Neural Language Models Professors in Global

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Chris Wang
University of New South Wales Australia
large language models
machine learning
natural language processing
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Beidi Chen
Carnegie Mellon University United States of America
large language models
machine learning systems
machine learning
natural language processing
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Zihao Fu
University of Cambridge United Kingdom
large language models
machine learning
natural language processing
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Magnus Bender
Aarhus University Denmark
large language models
machine learning
natural language processing
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Ekta Vats
Uppsala University Sweden
vision-language models
large language models
machine learning
natural language processing
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Caglar Gulcehre
École Polytechnique Fédérale de Lausanne Switzerland
large language models
machine learning
natural language processing
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Meriem Beloucif
Uppsala University Sweden
large language models
machine learning
neural machine translation
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Daniel Truhn
RWTH Aachen University Germany
large language models
machine learning
generative models
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Jiawei Zhang
University of Wisconsin–Madison United States of America
large language models
machine learning
generative models
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Andi Han
University of Sydney Australia
large language models
machine learning
generative models
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Nina Khairova
Umeå University Sweden
large language models
machine learning
computational linguistics
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Martin Rehm
University of Southern Denmark Denmark
large language models
natural language processing
computational linguistics
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Kyle Mahowald
University of Texas at Austin United States of America
large language models
natural language processing
computational linguistics
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Language Technology Group
University of Hamburg Germany
neural representations
natural language processing
topic models
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Jimmy Ba
University of Toronto Canada
deep neural networks
machine learning
natural language processing
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Sanjeev Arora
Princeton University United States of America
machine learning
machine learning theory
natural language processing
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Yan Liu
Carleton University Canada
machine learning
natural language processing
causal models
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Christopher Manning
Stanford University United States of America
machine learning
natural language processing
neural machine translation
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David Duvenaud
University of Toronto Canada
machine learning
deep probabilistic models
generative models
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning theory
machine learning algorithms
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Jiatao Gu
University of Pennsylvania United States of America
machine learning
natural language processing
generative models
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