Large Language Models Professors in Global

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Ekta Vats
Uppsala University Sweden
large language models
vision-language models
natural language processing
machine learning
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Lei Ying
University of Michigan United States of America
large-scale computing systems
large-scale graph mining
large-scale communication systems
big data
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Nanwei Wang
University of New Brunswick Canada
large deviations theory
graphical models
linear mixed models
machine learning
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Kuan-hao Huang
Texas A&M University United States of America
large language models
vision-language models
natural language processing
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Hossein Hassani
Toronto Metropolitan University Canada
large language models
vision language models
machine learning
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Xiaoyu Luo
Aalborg University Denmark
large language models
natural language processing
multilingual natural language processing
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Jiawei Zhang
University of Wisconsin–Madison United States of America
large language models
generative models
machine learning
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Chris Wang
University of New South Wales Australia
large language models
natural language processing
machine learning
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Zihao Fu
University of Cambridge United Kingdom
large language models
natural language processing
machine learning
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Andi Han
University of Sydney Australia
large language models
generative models
machine learning
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Nikolai Kühne
Aalborg University Denmark
large language models
sequence modelling
machine learning
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Magnus Bender
Aarhus University Denmark
large language models
natural language processing
machine learning
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Daniel Truhn
RWTH Aachen University Germany
large language models
generative models
machine learning
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Daniel Bauer
Columbia University United States of America
generative ai & large language models
natural language processing
machine learning
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Anas Elghafari
Maastricht University Netherlands
integration of large language models in research workflows
natural language processing
machine learning
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Honglak Lee
University of Michigan United States of America
large-scale learning
graphical models
machine learning
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Dabao Zhang
Purdue University United States of America
massive data modeling
density models
machine learning
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Alan Yuille
Johns Hopkins University United States of America
computational models
mathematical models
machine learning
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Cemal Erdem
Umeå University Sweden
large-scale mechanistic modelling
mathematical modeling
machine learning
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Vladimir Vlassov
KTH Royal Institute of Technology Sweden
large-scale distributed systems
natural language processing
machine learning
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Nikela Papadopoulou
University of Glasgow United Kingdom
large-scale systems
parallel programming models
machine learning
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