Papers by James Jialun Zhao
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. |