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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 411–420 of 671 papers

TitleStatusHype
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval—0
Dense Text Retrieval based on Pretrained Language Models: A SurveyCode2
ComCLIP: Training-Free Compositional Image and Text MatchingCode1
Seeing What You Miss: Vision-Language Pre-training with Semantic Completion LearningCode1
MSLKANet: A Multi-Scale Large Kernel Attention Network for Scene Text Removal—0
On Negative Sampling for Contrastive Audio-Text Retrieval—0
Arabic Text Mining—0
M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech to Image Retrieval—0
Exploring Train and Test-Time Augmentations for Audio-Language Learning—0
Generative Negative Text Replay for Continual Vision-Language Pretraining—0
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