Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond (2024.acl-long)
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| Challenge: | Recent advances in generative language models have demonstrated their ability to memorize knowledge from documents and recall knowledge to respond to user queries effectively. |
| Approach: | They propose to enable multimodal large language models to memorize and recall images within their parameters. |
| Outcome: | The proposed model performs well even with large-scale image candidate sets. |
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