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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 541–550 of 671 papers

TitleStatusHype
Multi-Head Attention Driven Dynamic Visual-Semantic Embedding for Enhanced Image-Text Matching—0
Multilateral Semantic Relations Modeling for Image Text Retrieval—0
Multilingual Diversity Improves Vision-Language Representations—0
Multimodal Learned Sparse Retrieval for Image Suggestion—0
Multimodal Misinformation Detection using Large Vision-Language Models—0
Multiscale Matching Driven by Cross-Modal Similarity Consistency for Audio-Text Retrieval—0
Multi-Scale Temporal Difference Transformer for Video-Text Retrieval—0
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings—0
Named Entity and Relation Extraction with Multi-Modal Retrieval—0
NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality—0
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