Papers by James Jialun Zhao

1 papers
Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation (2025.naacl-long)

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Challenge: Existing multimodal foundation models suffer from serious factual inaccuracy in radiology report generation.
Approach: They propose a fact-aware multimodal retrieval-augmented pipeline for generating accurate radiology reports using RadGraph.
Outcome: The proposed multimodal retrieval-augmented pipeline outperforms state-of-the-art retrievers on language generation and radiology-specific metrics.

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