On Monday Feb. 23rd at 11:00 AM, 2 PhD students from Queen’s University and Concordia University presented their current research.

Yu Shi, PhD candidate from Queen's University, shared his work From HAFix to HAFixAgent: History-Aware Bug Fixing with LLMs and Agents. Immediately following, Antonio Collante, PhD student at Concordia University, presented his work on The Impact of Large Language Models (LLMs) on the Code Review Process.

The video is now available to view on our CREATE SE4AI YouTube channel

The first CREATE SE4AI Trainee Talks of the fall 2024 semester was held on October 16. During this session, Master's candidate Lin Ling presented her research titled "Bias Unveiled: Investigating Social Bias in LLM-Generated Code". Following her presentation, Doctoral candidate Junjie Li shared his study on "An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation". Both trainees are under the supervision of Prof. Jinqiu Yang at Concordia University.

The webinar recording is available to view on our CREATE SE4AI YouTube channel.