WebSci'24: Keynote by Jie Tang

Jie Tang is a WeBank Chair Professor of the Department of Computer Science at Tsinghua University. He is a Fellow of the ACM, a Fellow of AAAI, and a Fellow of IEEE. His interests include artificial general intelligence, data mining, social networks, and machine learning. He served as General Co-Chair of WWW’23, and PC Co-Chair of WWW’21, CIKM’16, WSDM’15, and EiC of IEEE T. on Big Data and AI Open J. He is leading several major efforts on building large language models in China. He also invented AMiner.cn, which has attracted 30 million users from 220 countries/regions in the world. He was honored with the SIGKDD Test-of-Time Award, the 2nd National Award for Science&Technology, NSFC for Distinguished Young Scholar, and SIGKDD Service Award.
Large language models have substantially advanced the state of the art in various AI tasks, such as natural language understanding and text generation, and image processing, multimodal modeling. In this talk, we will first introduce the development of AI in the past decades, in particular from the angle of China. We will also talk about the opportunities, challenges, and risks of AGI in the future. In the second part of the talk, we will use ChatGLM, an alternative but open-sourced model to ChatGPT, as an example to explain our understanding and insights derived during the implementation of the model.