Papers with multimodal foundation model

2 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.
VIP5: Towards Multimodal Foundation Models for Recommendation (2023.findings-emnlp)

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Challenge: Recent advances in foundation models have impeded the ability for these fields to benefit from each other’s advancements.
Approach: They propose to use a multimodal foundation model to unify various modalities and recommendation tasks under the P5 recommendation paradigm to implement personalized prompts.
Outcome: The proposed model will unify visual, textual, and personalization modalities under the P5 recommendation paradigm and will improve recommendation performance and efficiency.

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