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.

On Tuesday, March 25th, at 11:00 AM EDT, we welcomed Queen’s University Ph.D. student Adekunle Ajibode. Adekunle shared his research on “Towards Semantic Versioning of Open Pre-trained Language Model Releases on Hugging Face,” which was recently published in the EMSE journal: https://arxiv.org/pdf/2409.10472.

Immediately after, Aurel Ikama Honey, a Ph.D. student at Polytechnique Montréal, presented the preliminary results of his work on “A Comparative Study of LLM Architectures for Root Cause Analysis in End-to-End Test Logs.”

Each trainee spoke for 20 minutes, followed by a 10-minute Q&A session.

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