About this Class

NIH Text Mining and Natural Language Processing SIG is pleased to welcome you to a special event dedicated to Large Language Models.

Abstract: The release of ChatGPT and the subsequent launch of GPT-4 by OpenAI has created a storm, capturing the attention of both the general public and domain professionals. In this talk, we will provide a comprehensive review of Large Language Models (LLMs), and how they can be used in Biomedical and Clinical applications, as well as their potential in addressing current challenges in the field, in driving innovation, and in improving the outcomes.

About the Speakers:

Dr. Shubo Tian is a research scientist in Dr. Zhiyong Lu’s group. He has extensive experience in using pre-trained language models for various biomedical and clinical applications, including information retrieval, information extraction such as named entity recognition and relation extraction, entity linking, and health outcome predictions. Dr. Shubo Tian holds a PhD degree in statistics and has a wide range of experience in the industry.

Dr. Qiao Jin is researcher scientist in the BioNLP group led by Dr. Zhiyong Lu at NCBI/NLM/NIH. He received his M.D. degree from Tsinghua University in 2022. Dr. Jin’s research interests include deep learning, natural language processing, information retrieval, and their applications in biomedicine. He published ~20 peer-reviewed articles at EMNLP, NAACL, SIGIR, including BioELMo (one of the first pre-trained language models in biomedicine) and PubMedQA (a widely-used biomedical question answering benchmark for evaluating LLMs). He has won the first BioBank Disease AI Challenge, and the TREC 2020 Precision Medicine track. His EBM-Net work received the Best NLP Paper Award from the International Medical Informatics Association in 2021. His primary focus recently has been to improve biomedical information access with large language models.

Meeting ID: 160 092 5176

Passcode: 676857