Cross-Modal Retrieval Augmentation for Multi-Modal Classification (2021.findings-emnlp)
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| Challenge: | Recent advances in using retrieval components over external knowledge sources have shown impressive results for a variety of downstream tasks in natural language processing. |
| Approach: | They propose a retrieval-augmented multi-modal transformer architecture for embedding images and captions in the same space. |
| Outcome: | The proposed approach improves visual question answering over strong baselines and hot-swapping indices. |
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| Challenge: | a new task is proposed to learn knowledge retrieval with multimodal queries . a vision-language model can retrieve knowledge using images and text inputs . |
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Unifying Text, Tables, and Images for Multimodal Question Answering (2023.findings-emnlp)
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| Challenge: | Existing approaches to multimodal question answering rely on single-modal or bi-modal models, which limit their ability to integrate information across all modalities. |
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