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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

Showing 5160 of 671 papers

TitleStatusHype
MedCLIP: Contrastive Learning from Unpaired Medical Images and TextCode2
CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation AlignmentCode2
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEsCode2
Egocentric Video-Language PretrainingCode2
Cross-lingual and Multilingual CLIPCode2
Vision-Language Pre-Training with Triple Contrastive LearningCode2
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsCode2
A Replication Study of Dense Passage RetrieverCode2
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine LearningCode2
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionCode2
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