Audience at 2023 Conference on Empirical Methods in Natural Language Processing

Dr Aaron Snoswell shares novel research methods at leading international conference on Natural Language Processing

Author  Kathy Nickels
Date 20 December 2023

Dr Aaron Snoswell shared research on methods to measure and remove harmful generative capability from language models at the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), held in Singapore 6-10 December.

The EMNLP Conference stimulated discussions on the ways large language models perform natural language processing (NLP) tasks and applications, and what this means for the future of NLP as a field.

At the conference, Dr Snoswell, from the ARC Centre of Excellence for Automated Decision-Making and Society at QUT, presented work from The Toxicity Scalpel project, which also includes ADM+S members Distinguished Prof Jean Burgess, Prof Nicolas Suzor, Prof Flora Salim, Dr Hao Xue, and Lucinda Nelson.

This project examines how language models used in automated decision-making systems might be improved by making modifications at the pre-trained foundation model stage.

Dr Aaron Snoswell standing in front of poster presentation
Dr Aaon Snoswell presenting at the 2023 Conference on Empirical Methods in Natural Language Processing, held in Singapore 6-10 December

The research was well received at the conference, with generative discussions with other conference attendees, including with researchers from Google and Facebook’s responsible Machine Learning teams.

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