Canberra Branch Meeting -- ChatGPT and Large Language Models: A Computational Linguistics Perspective

SSA Canberra invites you to its July branch meeting of 2023, which is joint with the IEEE ACT Section and the Canberra Data Scientists Group, and will feature Stephen Wan from CSIRO present online on the topic of "ChatGPT and Large Language Models: Computational Linguistics Perspective"

Time: Start at 5:00pm and finish by 6:00pm Canberra time.

Venue: 

• In-person: The Gallery, Level 2, Cultural Centre, University Ave, Kambri ANU (The Gallery - Kambri). There is a single level, underground car park at Kambri, with elevator access directly into The Gallery, and two pedestrian access points (Car Parking Kambri | Australian National University | Care Park).
• Online: Please see the bottom of this event page for Zoom links. 

Catering: After the talk there will be free pizzas and drinks provided to encourage people to stay after the presentation and socialise with other members and with members of the IEEE ACT Section and the Canberra Data Scientists Group. 

To assist in catering, please let us know if you are attending in person by 5pm Monday 24 July by entering your details at attendance sheet, or contacting me (warren.muller@csiro.au; 0407 916 868). Please regard this as a firm commitment, not just an intention. For withdrawals after the deadline, please remove your name from the sheet and phone or text me (0407 916 868).

Talk details

Speaker: Dr Stephen Wan, Data61, CSIRO, Sydney

Topic: ChatGPT and Large Language Models: Computational Linguistics Perspective

Abstract: Generative AI is a disruptive technology, presenting us with new opportunities. Tools like Large Language Models (LLMs) and the chatGPT application are taking the world by storm. In this talk, I will present a computational linguistics perspective on the recent research and engineering developments in this field. I argue that understanding the linkages to historical developments in language modelling and adopting a multi-disciplinary approach to research in this area are important in developing methods to overcome some of the limitations of these new technologies. Beginning with an overview of the neural network technology underpinning LLMs, I will note the relationship of LLM advances to other work in natural language processing. I will then introduce the importance of a broader multi-disciplinary approach, involving fields such as linguistics, computational linguistics, social sciences, and human factors, to name but a few. Methods and knowledge from these other disciplines methods will be useful in advancing research and applications in this area. Finally, I will conclude by presenting some research directions that we are exploring at CSIRO Data61.

Biography: Stephen Wan is a Principal Research Scientist at CSIRO Data61. His research in computational linguistics employs methods from fields such as natural language processing, machine learning, information retrieval and human-computer interaction. With over 20 years of research experience in the field, Stephen has led projects resulting in the deployment of NLP systems in industry and government. Currently, he leads the Language Technology team and is interested in areas such as AI for Science, computational social science, and text-driven business analytics.

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Website links: https://statsoc.org.au/Canberra-Branch-meetings