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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 191–200 of 671 papers

TitleStatusHype
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language TransformersCode1
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive LearningCode1
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense CaptionerCode1
Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive TrainingCode1
Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical AlignmentCode1
ALIP: Adaptive Language-Image Pre-training with Synthetic CaptionCode1
Learnable Pillar-based Re-ranking for Image-Text RetrievalCode1
Learning a Text-Video Embedding from Incomplete and Heterogeneous DataCode1
CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information RetrievalCode1
CoSMo: Content-Style Modulation for Image Retrieval With Text FeedbackCode1
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