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Text Retrieval

Text Retrieval is the task of finding the most text result (such as an answer, paragraph, or passage) given a query (which could be a question, keywords, or any relevant text)

Papers

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Showing 421–430 of 671 papers

TitleStatusHype
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning—0
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval—0
Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval—0
MASS: Overcoming Language Bias in Image-Text Matching—0
Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval—0
MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval—0
Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts—0
Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval—0
MeSH-based dataset for measuring the relevance of text retrieval—0
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval—0
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