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2024 MLHC MLHC 2024

Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation

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.

Authors

Oishi Banerjee, Hong-Yu Zhou, Kay Wu, Subathra Adithan, Stephen Kwak, Pranav Rajpurkar

Topics

Machine Learning > Optimization & Theory > Optimization Artificial Intelligence > Core AI > Large Language Models Deep Learning > Learning Types > Multimodal Learning

Keywords

direct preference optimization radiology report generation data-efficient clinical accuracy metrics hallucinated prior exams pre-trained vlms
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