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.

On Wednesday, September 30th at 3:00 PM EDT, we hosted a research talk featuring two PhD candidates who will be graduating soon. Concordia University student Fazle Rabbi presented his work, “How Robust is LLM Code Generation Across Programming Languages?”

Immediately following, Queen’s University student Pouya Fathollazadeh presented his work, “LLM-Based Agents for GitHub Issue Enhancement.” Both presentations highlighted their research and provided an opportunity to learn more about their work as they approached graduation.

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