2023 Program

Time in Eastern Time (US & Canada).

June 09, 2023

8:30 – 9:00 Breakfast (—)
9:00 – 9:15 SEMLA 2022 Opening Session
Opening by Prof. Foutse Khomh
Welcome message by Annie Ross (Deputy Vice-President, Research, Polytechnique Montréal)
9:15-10:45 Keynote Session I: Operationalizing Trustworthy Large-Scale AI – Moderator: Ying (Jenny) Zou
Lionel C. Briand (University of Ottawa, University of Lexembourg): Quality Assurance of AI-enabled Systems.
Miryung Kim (University of California, Los Angeles): SE4AI–Lessons Learned from Designing SE Methods for Big Data and HW Heterogeneity (Slides)
Walid Maalej (University of Hamburg): Tailoring Requirements Engineering for Responsible AI
10:45-11:00 Coffee break
11:00-12:00 Research Panel Discussion: Operationalizing Trustworthy Large-Scale AI – Moderator: Ying (Jenny) Zou
Lionel Briand (University of Ottawa, University of Lexembourg)
Miryung Kim (University of California, Los Angeles)
Walid Maalej (University of Hamburg)
12:00-13:30 Lunch break
Raymond Li (ServiceNow Research): BigCode: Open and Responsible Development of Large Language Models for Code. (Slides)
Ahmed Haj Yahmed and Rached Bouchoucha (Polytechnique Montréal): Tutorial: Debugging Deep Reinforcement Learning.
15:30-16:00 Coffee break
16:00-17:30   Session: Trustworthy Large Language Models and ML Documentation – Moderator: Mohammad Hamdaqa
Jin Guo (McGill University): Machine Learning Documentation – How Far Away Are We
Su Lin Blodgett (Microsoft Research): Examining How We Examine Language Technologies
Sarath Chandar (Polytechnique Montréal, MILA): Towards Interpretable and Bias-free Large Language Models
18:05-20:00 Reception & Poster session — Poster chair: Mohammad Hamdaqa

June 10, 2023

8:30 – 9:00 Breakfast
9:00-10:30 Keynote Session II: Industry View on Trustworthy Large-Scale AI — Moderator: Foutse Khomh
Sumit Gulwani (Microsoft Research): Leveraging LLMs as Analogical Reasoning Engines to enhance Programming-by-Example experiences (Slides)
Maryam Ahmadi (Canadian National Railway, BrainStation): Root cause analysis of system’s event logs
Ahmed E. Hassan (Queen’s University): Foundation Models and Software Engineering in the Beyond Moore Computing Era
10:30-11:00 Coffee break
11:00–12:00 Industry Panel Discussion: Industry View on Trustworthy Large-Scale AI — Moderator: Maxime Lamothe
Ahmed E. Hassan (Queen’s University)
Sumit Gulwani (Microsoft Research)
Thomas Reid (Sycodal)
Patrick Mesana (HEC Montréal, National Bank of Canada)
12:00-13:30 Lunch break
12:15-13:15 SEMLA Members Closed Meeting
13:30-15:00 Special Panel: Ethical and Legal Implications of LLMs for Code – Moderator: Bram Adams
Sumit Gulwani (Microsoft Research)
Fouse Khomh (Polytechnique Montréal)
Valentin Callipel (Laboratoire de cyberjustice, Université de Montréal)
Joé T. Martineau (HEC Montréal)
15:00-15:30 Coffee break
15:50-17:00 Session: Software Engineering and AI — Moderator: Heng Li
Ettore Merlo (Polytechnique Montréal): Out-of-distribution Analysis and Robustness of Deep Neural Networks (Slides)
Yuan Tian (Queen’s University): Optimizing Software Project Management with AI-powered Tracking Tools
Fatemeh Hendijani Fard (University of British Columbia): Exploiting The Learned Knowledge of Language Models Using Adapters (Slides)
17:00-17:30 Closing and Best Poster Awards