일시: 2025. 11. 5. (수요일), 오후 1시
장소: 제4공학관 D509호

Speaker: Moontae Lee, Ph.D. (Professor at the University of Illinois Chicago | Head of Superintelligence Lab at LG AI Research)

Title: From Generative to Agentic and Ecosystemic AI: Scaling Strategic and Reliable Thinking

Abstract:

Generative AI has advanced through three key capabilities: Retrieval-Augmented Generation for knowledge grounding, machine evaluation for judgment, and planning for goal-directed reasoning. These foundational abilities are now giving rise to Agentic AI, where systems think strategically, make reasoning more reliable, and collaborate effectively across multiple agents and tools. The next challenge is not only to strengthen individual reasoning but also to scale it by automating data generation for modeling domain-specific thinking and workflows, and by optimizing contexts from agent trajectories. Looking ahead, my central research interest is to design Ecosystemic AI in which diverse agents and environments interact, learn, and decide adaptively toward common goals.

Bio:

Moontae serves as Head of Superintelligence Lab at LG AI Research. He is concurrently a faculty member of Information and Decision Sciences at the University of Illinois Chicago. His journey into Large Language Models (LLMs) began in 2019 as an invited scholar at Microsoft Research Redmond, where he initiated the ambitious Universal Language Modeling project. His current research spans text, code, and time-series foundation modeling, with an industry service on synthesizing high-quality domain-specific reasoning datasets for agent building and thinking verification. Moontae has served as Area Chair and Senior Committee member for NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, AAAI, AISTATS, and CVPR. Beyond the machine learning community, his work have also been recognized in Operations Research and Management Information Systems, where he received the Best Paper Award at INFORMS 2017. His research in Computational Social Science won the Amazon Research Award 2017. More recently, he received the Social Impact Award at NAACL 2024 and the Best Paper Award at NAACL 2025.