Abstract

Large Language Models (LLMs) have garnered significant attention from researchers, including clinicians, due to their ability to respond to various human queries. Innovations like ChatGPT's groundbreaking reinforcement learning with human feedback and Google's domain-specific fine-tuning in Med-PaLM have introduced two potent information-providing platforms for general health inquiries. The 2023 Gartner Hype Curve places such LLMs at the pinnacle, foreseeing translational impact in the next 2-3 years. This foresight is grounded in comprehensive assessments of recent studies that have illuminated the limitations of these LLMs.

The remarkable potential of these LLMs, when fortified with features like human-level explainability, consistency, reliability, and safety, holds the promise of making deployable systems usable and readily adaptable to various scenarios where human lives may be affected. The talk will introduce a suite of methodologies (methods+metrics) under the Knowledge-powered CREST Framework for LLMs. This practical approach harnesses declarative, procedural, and graph-based knowledge within a neurosymbolic framework to shed light on the challenges associated with LLMs. 
 

Bio

Manas Gaur is an assistant professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). At UMBC, he leads the Knowledge-infused AI and Inference (KAI2) lab. Before entering academia, he was the lead research scientist in Natural Language Processing (NLP) at the AI Center within Samsung Research America. He also held a visiting researcher role at the Alan Turing Institute. Dr. Gaur earned his Ph.D. under the guidance of Prof. Amit P. Sheth at the Artificial Intelligence Institute, University of South Carolina. Together, they played a pivotal role in the development of Knowledge-infused Learning, a paradigm that harmonizes seamlessly with NeuroSymbolic AI. He has been recognized as AAAI New Faculty for 2023 and is currently an advisor to Balm.ai, a startup on Mental Health. More details about him are at: https://manasgaur.github.io/
 

Location:

In-person

Innovation Center Building 1400

Online