Conference Programme
Registration will open in October and be free for students. The anticipated charge for non-students will be small (at most $200).
Wednesday November 26th
Tutorial, 2pm - 5pm
Title: Alignment of Large Language Models with Human Preferences and Values
Location: PNR Learning Studio 310, location, and about the space
Presenters: Usman Naseem, Gautam Siddharth Kashyap, Kaixuan Ren, Iran Zhang, Utsav Maskey, Juan (Ada) Ren (Macquarie University)
Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities, yet their reliability and alignment with human expectations remain unresolved challenges. This tutorial introduces the foundations of alignment and provides participants with a conceptual and practical understanding of the field. Core principles such as values, safety, reasoning, and pluralism will be presented through intuitive explanations, worked examples, and case studies. The aim is to equip attendees with the ability to reason about alignment goals, understand how existing methods operate in practice, and critically evaluate their strengths and limitations.
Pre-requisite: A working knowledge of basic machine learning and NLP methods will help participants follow the technical material, but the tutorial is structured to remain accessible to those without prior alignment experience.
Content Outline:
- Foundations of Alignment
- Value and Preference Alignment for Helpfulness
- Safety and Honesty Alignment
- Pluralistic and Cross-Modal Alignment
Evening Event
Details coming soon!
Thursday November 27th
Main conference
Location: PNR Lecture Theatre (2) 302
Social event
Friday November 28th
Main conference
Location: PNR Lecture Theatre (2) 302