On Thursday, March 26th at 10:00 AM, we heard from two CREATE Master's trainees:

Liam Johnston, MSc candidate from Queen's University, shared his work on LabelMate: An LLM-driven Framework for Refined Issue Report Labeling.

Caren Rizk, MASc student at Concordia University, presented her research titled Bridging Design and Implementation: A Study of Multi-Agent LLM Architectures for Automated Front-End Generation.

Each trainee spoke for 20 minutes, with 10 minutes reserved for Q&A.

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.