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<pclass="mb-0 text-500">Professor in the Computer Science department at UNC Chapel Hill<br>
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Presentation title: Trustworthy Planning Agents for Collaborative Reasoning and Multimodal Generation</p>
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<pclass="py-3 mb-0" data-zanim-xs='{"delay":0.2}'>Dr. Mohit Bansal is the Parker Distinguished Professor in the Computer Science department at UNC Chapel Hill.<spanclass="collapse" id="collapseExample2"> He received his PhD from UC Berkeley in 2013 and his BTech from IIT Kanpur in 2008. His research expertise is in multimodal generative models, reasoning and planning agents, faithful language generation, and interpretable, efficient, and generalizable deep learning. He is a AAAI Fellow and recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), IIT Kanpur Young Alumnus Award, DARPA Director's Fellowship, NSF CAREER Award, Army Young Investigator Award (YIP), and outstanding paper awards at ACL, CVPR, EACL, COLING, CoNLL, and TMLR</span></p>
<pclass="mb-0 text-500">Professor of Computational Linguistics & Dialogue Systems, University of Amsterdam<br>
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Presentation title: Multimodal NLP</p>
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<pclass="py-3 mb-0" data-zanim-xs='{"delay":0.2}'>Raquel Fernández is Professor of Computational Linguistics and Dialogue Systems at the Institute for Logic, Language & Computation, University of Amsterdam, where she leads the Dialogue Modelling Group. <spanclass="collapse" id="collapseExample2">Raquel received her PhD from King's College London and, before moving to Amsterdam, held research positions at the University of Potsdam and Stanford University. Her research focuses on how language use is shaped by perception and social interaction. How are language and vision connected? What coordination strategies help us to communicate successfully with our dialogue partners? And how can answers to these questions lead to better NLP systems? Her group carries out research on these and related topics from an interdisciplinary perspective, at the interface of computational linguistics, cognitive science, and artificial intelligence</span></p>
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<pclass="py-3 mb-0" data-zanim-xs='{"delay":0.2}'>Raquel Fernández is Professor of Computational Linguistics and Dialogue Systems at the Institute for Logic, Language & Computation, University of Amsterdam, where she leads the Dialogue Modelling Group. <spanclass="collapse" id="collapseExample3">Raquel received her PhD from King's College London and, before moving to Amsterdam, held research positions at the University of Potsdam and Stanford University. Her research focuses on how language use is shaped by perception and social interaction. How are language and vision connected? What coordination strategies help us to communicate successfully with our dialogue partners? And how can answers to these questions lead to better NLP systems? Her group carries out research on these and related topics from an interdisciplinary perspective, at the interface of computational linguistics, cognitive science, and artificial intelligence</span></p>
<pclass="mb-0 text-500">Professor in Natural Language Processing at the Department of Informatics in King’s College London.<br>
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Presentation title: Encoder-Decoder Models</p>
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<pclass="py-3 mb-0" data-zanim-xs='{"delay":0.2}'>Yulan He is a Professor in Natural Language Processing at the Department of Informatics in King’s College London. She is currently holding a prestigious 5-year UKRI Turing AI Fellowship. <spanclass="collapse" id="collapseExample4"> Her recent research focused on addressing the limitations of Large Language Models (LLMs), aiming to enhance their reasoning capabilities, robustness, and explainability. She has published over 250 papers on topics such as self-evolution of LLMs, mechanistic interpretability, and LLM for educational assessment. She received several prizes and awards for her research, including an SWSA Ten-Year Award, a CIKM Test-of-Time Award, and was recognised as an inaugural Highly Ranked Scholar by ScholarGPS.
<pclass="mb-0 text-500">AI consultant and investor<br>
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Presentation title: Classification</p>
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<pclass="py-3 mb-0" data-zanim-xs='{"delay":0.2}'>Ryan McDonald is an expert in Machine Learning and its application to NLP. He currently consults on a variety of efforts from autonomous agents to scientific simulation. <spanclass="collapse" id="collapseExample6"> Prior to this, Ryan was the Chief Scientist at ASAPP working on NLP and ML research focusing on CX and enterprise and was a Research Scientist in the Language Team at Google for 15 years where he helped build state-of-the-art NLP and ML technologies and pushed them to production. He received his PhD from the University of Pennsylvania focusing on multilingual syntax. In 2023 his work on Universal Dependencies received the ACL 10 year test-of-time award.</span></p>
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<pclass="py-3 mb-0" data-zanim-xs='{"delay":0.2}'>Ryan McDonald is an expert in Machine Learning and its application to NLP. He currently consults on a variety of efforts from autonomous agents to scientific simulation. <spanclass="collapse" id="collapseExample5"> Prior to this, Ryan was the Chief Scientist at ASAPP working on NLP and ML research focusing on CX and enterprise and was a Research Scientist in the Language Team at Google for 15 years where he helped build state-of-the-art NLP and ML technologies and pushed them to production. He received his PhD from the University of Pennsylvania focusing on multilingual syntax. In 2023 his work on Universal Dependencies received the ACL 10 year test-of-time award.</span></p>
<pclass="mb-0 text-500">Associate Professor in the Computer Science Department at the IT University of Copenhagen<br>
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Presentation title: LLMs and Factuality</p>
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<pclass="py-3 mb-0" data-zanim-xs='{"delay":0.2}'>Anna Rogers is an Associate Professor in the Computer Science Department at the IT University of Copenhagen. Her main research area is Natural Language Processing, in particular analysis and evaluation of pre-trained language models. <spanclass="collapse" id="collapseExample6"> She is currently an editor-in-chief of ACL Rolling Review, the peer review platform used by major NLP conferences.</span></p>
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