报告题目： Exploring the Duality Between Large Language Models and Database Systems

报告人： M. Tamer Özsu, University of Waterloo

报告时间： 2026年10月19日（周一）上午9:00-11:00

报告地点： 王选所106报告厅

邀请人： 邹磊 教授

Abstract: The interaction between large language models (LLMs) and data management systems (DMSs) has emerged as one of the most consequential intersections in contemporary computer science. This interaction is bidirectional. In one direction (LLM4DB), LLMs assist, augment, or replace components of a DMS. Cooperation with LLMs facilitates tasks such as natural language querying, data cleaning and transformation, source integration, and semantic annotation. In the other direction (DB4LLM), DMS architectures and techniques support the management and preparation of managing large-scale multimodal training datasets for LLMs. They enable low-latency approximate nearest neighbour search over high-dimensional vector data for retrieval-augmented generation at inference time. These two directions exhibit a duality in which advances on one side create demand and opportunity on the other. In this paper, we report on research on both sides of this duality. In this paper, we discuss two projects in this space that we are engaged in, one in each direction.

Bio: M. Tamer Özsu is a University Professor at Cheriton School of Computer Science at University of Waterloo. His research focuses on data science, with particular emphasis on large-scale data management, distributed systems, and non-relational data platforms. He is the author/co-author of three books and co-editor of the Encyclopedia of Database Systems, with two more books in production. He has also held several senior academic leadership positions, including Director of the David R. Cheriton School of Computer Science, Associate Dean of Research in the Faculty of Mathematics, and Co-Director of the Faculty of Mathematics Data Science and Artificial Intelligence Program at the University of Waterloo. Professor Özsu is a Fellow of the Royal Society of Canada, the American Association for the Advancement of Science (AAAS), the Balsillie School of International Affairs, and a Life Fellow of Association for Computing Machinery (ACM) and the Institute for Electrical and Electronics Engineers (IEEE). His contributions have been recognized through numerous honours, including the ACM Presidential Award, the IEEE Technical Committee on Data Engineering Education Award, the IEEE Innovation in Societal Infrastructure Award, the University of Waterloo Award of Excellence in Graduate Student Supervision, the CS-Can/Info-Can Lifetime Achievement Award, the ACM SIGMOD Contributions Award, and the ACM SIGMOD Test-of-Time Award.