| 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 . |
| Approach: | They propose a task for vision-language models to retrieve knowledge with multi-modal queries . they propose reViz, a model that integrates content from both text and image queries based on a multimodal query task . |
| Outcome: | The proposed task performs better under zero-shot settings than previous work on cross-modal retrieval. |
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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. |
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Seeing Beyond: Enhancing Visual Question Answering with Multi-Modal Retrieval (2025.coling-industry)
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Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation (2025.emnlp-main)
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Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog (2023.acl-long)
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Retrieval-based Question Answering with Passage Expansion Using a Knowledge Graph (2024.lrec-main)
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| Challenge: | Recent advances in dense neural retrievers and language models have hindered performance, especially for less common entities and facts. |
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Named Entity and Relation Extraction with Multi-Modal Retrieval (2022.findings-emnlp)
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DocMMIR: A Framework for Document Multi-modal Information Retrieval (2025.findings-emnlp)
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Query Generation for Multimodal Documents (2021.eacl-main)
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| Challenge: | Existing approaches to find relevance for multimodal documents with images are expensive and require a lot of runtime overhead. |
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Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web (2020.acl-tutorials)
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| Challenge: | a tutorial explores the commonalities in the challenges and solutions developed to address information extraction from the World Wide Web. |
| Approach: | This tutorial examines methods for extracting information from the World Wide Web . it explores the commonalities in the challenges and solutions developed to address these different forms of text . |
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