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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 151–160 of 671 papers

TitleStatusHype
Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical AlignmentCode1
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge BasesCode1
Cross-modal Scene Graph Matching for Relationship-aware Image-Text RetrievalCode1
Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video RetrievalCode1
Equivariant Similarity for Vision-Language Foundation ModelsCode1
ESA: External Space Attention Aggregation for Image-Text RetrievalCode1
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text RetrievalCode1
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse RetrievalCode1
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency BenefitsCode1
Learning the Best Pooling Strategy for Visual Semantic EmbeddingCode1
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