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Bang Liu, Associate Professor, Mila


About the Speaker:
Bang Liu is an Associate Professor in the Department of Computer Science and Operations Research (DIRO) at the University of Montreal (UdeM). He is a member of the RALI laboratory (Applied Research in Computer Linguistics) of DIRO, a member of Institut Courtois of UdeM, an associate member of Mila – Quebec Artificial Intelligence Institute, and a Canada CIFAR AI Chair. His research interests primarily lie in the areas of natural language processing, multimodal & embodied learning, theory and techniques for AGI (e.g., understanding and improving large language models and intelligent agents), and AI for science (e.g., material science, health).


Abstract:
The advent of large language models (LLMs) has revolutionized artificial intelligence, laying the foundation for sophisticated intelligent agents capable of reasoning, perceiving, and acting across diverse domains. These agents are increasingly central to advancing AI research and applications, yet their design, evaluation, and enhancement pose intricate challenges. In this talk, we will offer a fresh perspective by framing intelligent agents through a modular and cognitive science-inspired lens, bridging AI design with insights from different disciplines to propose a unified framework for understanding their core functionalities and future potential. We will explore the modular design of intelligent agents and present a framework for cognition, perception, action, memory, reward systems, and so on. Then we will discuss each module in detail. Our talk aims to provide a holistic and interdisciplinary perspective for intelligent agent research.