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Natural Language Processing (NLP) has witnessed significant advancements recently, with Large Language Models (LLMs) such as ChatGPT, GPT-4 and LLaMA pushing the boundaries of machine reading comprehension and language generation.
In this talk, Professor Yulan He will delve into the question of whether these LLMs have successfully overcome the challenges of NLP by examining their capabilities in a range of NLP tasks. She will conclude her talk with the exciting future of AI-driven language understanding.
This event is in-person only. Please register on Eventbrite.
This event is part of the King's Festival of Artificial Intelligence, running from Wednesday 24 to Sunday 28 May 2023, which brings together speakers, exhibits, performances, demos and screenings in an exciting programme of events. Take a look at the other events here.
Festival event times may be subject to change. Any changes will be communicated to registrants via Eventbrite emails.
Please note, King's events are free, which means we routinely overbook to allow for no-shows and avoid empty seats. Admission is on a first come, first served basis, so please arrive in good time to avoid disappointment. We will not be able to admit those without tickets or latecomers.
Professor Yulan He is a Professor at the Department of Informatics, King's College London. Her research centres around the exploration of statistical models in representing uncertainty and the benefit they bring over earlier work in a wide range of application areas, particularly the integration of machine learning and natural language processing for text understanding. She currently holds a five-year Turing AI Fellowship, funded by the UK Research and Innovation (UKRI). Yulan obtained her PhD degree in spoken language understanding from the University of Cambridge, and her MEng and BASc (First Class Honours) degrees in Computer Engineering from Nanyang Technological University, Singapore.
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Professor in Natural Language Processing
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