Yale NLP/LLM Interest Group Talks
Insights into Generative LLMs for Scientific Knowledge Extraction, Synthesis, and Discovery
Join us for an insightful talk on the evolving role of generative large language models (LLMs) in biomedicine, featuring Dr. Karin Verspoor, Executive Dean of the School of Computing Technologies at RMIT University.
Recent advances in LLMs have led to their widespread adoption for natural language processing tasks in biomedicine. However, challenges persist when it comes to applying LLMs for complex biomedical literature analysis, including tasks like information extraction and systematic reviewing. In this session, Dr. Verspoor will discuss her team's recent work exploring the capabilities and limitations of LLMs in addressing key biomedical challenges such as negation detection, numerical reasoning, and multi-document summarization.
This talk will also highlight critical areas for future research aimed at improving the performance of LLMs on deep understanding and synthesis tasks, essential for advancing scientific discovery in biomedicine.
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Speaker
RMIT University
Karin Verspoor, PhDExecutive Dean, School of Computing Technologies
Contact
Host Organizations
- Biomedical Informatics and Data science
- Yale Medical School