NLM IRP Seminar Schedule



Scheduled Seminars on Feb. 13, 2024

Qiao Jin
11 a.m.
Presentation Title
Applying Large Language Models to Biomedicine

Contact with questions about this seminar.


In this talk, I will present our experience of applying Large Language Models (LLMs) to biomedicine at the BioNLP group. I will first briefly introduce some basics of LLMs, including auto-regressive language modeling, scaling, alignment, few-shot learning, and chain-of-though reasoning. I will share a case study on biomedical question answering for better understanding of these concepts. Despite their great successes, LLMs are known to hallucinate confident-sounding but inaccurate content. In the second part, I will introduce two approaches that augment LLMs to reduce hallucinations in biomedicine, namely retrieval augmentation and tool augmentation. For the former, I will talk about our perspective on how LLMs will impact information seeking from biomedical literature. For the latter, I will present our GeneGPT work for teaching LLMs to use NCBI Web APIs. Finally, with the knowledge gained from the first two parts, I will share our application research, TrialGPT, for patient-to-trial matching with LLMs.