PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-Modal Retrievers
Published in ACL 2024 Main
We introduce PreFLMR, a large-scale pre-trained fine-grained late-interaction multi-modal retriever. By scaling up both the model and pre-training data, PreFLMR achieves state-of-the-art performance on a wide range of multi-modal retrieval benchmarks.
Recommended citation: W. Lin*, J. Mei*, J. Chen*, B. Byrne. "PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-Modal Retrievers." ACL 2024 Main.
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