Cuiyun Gao

AI + SE Seminar Series (October 18, 2024 10am-11am EST).

Intelligent Software Development by Integrating LLMs with Domain Knowledge

The development of (Large Language Models) LLMs has driven changes in software development paradigms and effectively enhanced productivity. However, their application in software development still faces challenges such as difficulty in understanding long-distance code, accurate learning of complex semantic logic, and effective evaluation. This talk will introduce how integrating domain knowledge can alleviate these challenges, thereby improving the performance and reliability of large models in software development tasks.

Bio

Associate Professor at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). Her main research areas concentrate on Intelligent Software Engineering towards reliable and secure software. She has published more than 70 papers in prestigious journals and conferences including Transactions on Software Engineering (TSE), ACM Transactions on Software Engineering and Methodology (TOSEM), International Conference on Software Engineering (ICSE), and Foundations of Software Engineering (FSE), etc. She has received several awards which indicate her expertise in the area, including the Distinguished Paper Award at ICSE 2024 and ASE 2023, Best Paper Award of the Industry Challenge Track at ICSE 2024, and the Best Student Paper Award at ACAIT 2022.

For more details, please visit: https://cuiyungao.github.io/

EECS Upcoming Events: https://lassonde.yorku.ca/eecs/eecs-upcoming-events/

Video Recording: Here