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2025 MLHC MLHC 2025

FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Monica Munnangi, Akshay Swaminathan, Jason Alan Fries, Jenelle A Jindal, Sanjana Narayanan, Ivan Lopez, Lucia Tu, Philip Chung, Jesutofunmi Omiye, Mehr Kashyap, Nigam Shah

Topics

Natural Language Processing > Understanding > Semantic Analysis Natural Language Processing > Applications > Fact-Checking Artificial Intelligence > Core AI > Large Language Models

Keywords

clinical note large language model fact decomposition llms clinician review entailment pairs
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