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ISyE Student Seminar Series - Paul Horton
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Agentic Frameworks for Information Retrieval
Abstract: This talk explores how AI agents can support information retrieval by identifying the files, tables, and other data needed to answer scientific questions within large, multimodal repositories. It also connects retrieval to downstream applications such as data science workflows, biomarker discovery, disease prediction, and clinical trial patient matching.
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Agentic Frameworks for Information Retrieval
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- Workflow status: Published
- Created by: Scott Jacobson
- Created: 09/24/2026
- Modified By: Scott Jacobson
- Modified: 09/24/2026
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