Hosted by: Yifan Peng (yip4002@med.cornell.edu)
Time: 3:00 - 4:00 pm East Time on Mondays

Aims and Outcomes

The emergence of ChatGPT and other large language models (LLMs) has the potential to revolutionize research and clinical practice. This seminar series will introduce an understanding of LLM and how they can be used in clinical and translational research. Throughout the series, participants will acquire knowledge of large language models and their benefits and limitations in the different applications.

Schedule Overview

Date	Topic	Speaker	Institution
2/26/2024	Introduction to NLP and LLM	Yifan Peng	Weill Cornell Medicine
3/25/2024	The Promises and Ethical Considerations of Generative AI in Healthcare	Yanshan Wang	University of Pittsburgh
4/29/2024	Clinical Evidence Extraction and Summarization Using Generative AI	Gongbo Zhang	Columbia University
5/20/2024	Large Models, Big Footprint: How Large Language Models are Transforming Research and Practice	Trevor A. Cohen	University of Washington
6/24/2024	Occurrence, detection, or prevention of factual errors by LLMs	Tanya Goyal	Princeton University
9/30/2024	Language Modeling for Biomedicine: Evaluation, Augmentation, and Applications	Qiao Jin	NLM/NIH
10/28/2024	Large Language Models for Healthcare and Medicine	Yonghui Wu	University of Florida
11/18/2024	How does it know that? Surprising abilities and new challenges of LLMs	Timothy Miller	Harvard Medical School
12/16/2024	Operational considerations of generative models to support care and research	Karthik Natarajan	Columbia University

Acknowledgments

This work was supported by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) under grant number UL1TR002384.