Time: 1:00 PM, November 22nd (Friday), 2024
Location: POTR 234
Coffee and bagels will be provided.
LLM-Based Reasoning: Opportunities and Pitfalls
Dr. Asim Munawar, Project Lead, IBM Watson Research Center, New York
The question of whether Large Language Models (LLMs) can reason is both complex and crucial. While LLMs have demonstrated capabilities in informal reasoning, their potential extends far beyond, particularly in advancing explainable AI and the development of intelligent agents. In this talk, I will explore the reasoning abilities of LLMs and discuss the ongoing efforts at IBM to enhance these capabilities in IBM granite models by using knowledge and tool-assisted synthetic data generation.
Dr. Asim Munawar is a Project Lead at the IBM Watson Research Center in New York, where he is at the forefront of advancing IBM's in-house LLMs for enhanced reasoning and planning capabilities. With a distinguished 12-year tenure at IBM Research, Dr. Munawar has held pivotal roles, including Manager and Program Director for Neuro-Symbolic AI. He earned his Ph.D. from Hokkaido University and has since led multiple groundbreaking research initiatives in deep learning. His primary focus is on pioneering next-generation AI by integrating symbolic reasoning with machine learning techniques. Dr. Munawar has authored over 60 publications in leading journals and peer-reviewed conferences. He also serves as a Board member for Packt Publishing India and the National Center of Artificial Intelligence (NCAI) in Pakistan.