This lecture focuses on the workflows for using LLMs as information sources, the types of problems that may result from that, and the main current mitigation strategies (retrieval-augmented generation and chain-of-thought reasoning). Finally, I will discuss the problem of detecting generated texts, and the impact of LLMs on the information ecosphere and content economy.
Anna Rogers is an Associate Professor in the Computer Science Department at the IT University of Copenhagen. She holds a PhD degree in Computational Linguistics from the University of Tokyo, followed by postdocs in Machine Learning for Natural Language Processing (University of Massachusetts) and in Social Data Science (University of Copenhagen). Her main research area is analysis and evaluation of pre-trained language models. Anna currently serves as an editor-in-chief of ACL Rolling Review, the peer review platform for all major NLP conferences of the Association for Computational Linguistics.