Join us for the first CREATE SE4AI Trainee Talks of the fall 2024 semester! In this edition, Master's candidate Lin Ling will present her work titled "Bias Unveiled: Investigating Social Bias in LLM-Generated Code".
Immediately following, Junjie Li, Doctoral candidate, will share his research on "An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation". Both students are supervised by Prof. Jinqiu Yang at Concordia University. Each trainee will talk for 20 mins, followed by a 10 min Q&A session.
For the first time, this event will be offered both in-person and online. Local (Montreal) students are encouraged to join in person in Room ER-1222. Please arrive a few minutes before 10:00 so we can start on time.
For more details and to register, go to our Eventbrite page: https://www.eventbrite.ca/e/1005450558687?aff=oddtdtcreator
Join the presentation in person: Concordia University, 2155 Guy Street (ER Building) 12th floor Room 1222.
Join the webinar via Zoom: : https://concordia-ca.zoom.us/j/85010190247?pwd=UbtgbgJaBNAAfYnDyJlCnbXEeAKNmN.1
Meeting ID: 850 1019 0247
Passcode: 134076