報告人：Xiaoning Du，Lecturer，Monash University
主持人：王璐璐
報告時間：2024年12月17日（周二）上午 9:30
報告地點：bet356手机版唯一官网九龍湖校區計算機樓513報告廳
報告摘要：AI models have emerged as another important audience for programming languages alongside humans and machines as we enter the era of LLMs. LLMs can now perform well in coding competitions and even write programs like developers to solve various tasks, including mathematical problems. However, the grammar and layout of current programs are designed to cater to the needs of human developers -- with many grammar tokens and formatting tokens being used to make the code easier for humans to read. While this is helpful, such a design adds unnecessary computational work for LLMs, as each token they use or produce consumes computational resources. In this talk, I will share an initial attempt at redesigning the Python grammar for more efficient and green code LLMs.
報告人簡介：Dr. Du Xiaoning is a Lecturer (a.k.a. Assistant Professor in the US) at the Faculty of Information Technology, Monash University. She received her Ph.D. from Nanyang Technological University in 2020 and her Bachelor's degree from Fudan University in 2014. Her research is dedicated to devising innovative, intelligent techniques for various software engineering tasks while promoting responsible development and adoption of code intelligence. Her research has been published in top-tier conferences and journals and has attracted the attention of many industrial practitioners of code language models. Her work has won or been nominated for the ACM SIGSOFT Distinguished Paper Award multiple times. She also received the 2024 FIT Dean's Early Career Researcher of the Year Award and the 2024 Google Research Scholar Award.
