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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 461–470 of 671 papers

TitleStatusHype
X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text RetrievalCode1
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text RetrieversCode4
LaT: Latent Translation with Cycle-Consistency for Video-Text Retrieval—0
Intra-Modal Constraint Loss For Image-Text RetrievalCode0
GazBy: Gaze-Based BERT Model to Incorporate Human Attention in Neural Information Retrieval—0
Dynamic Contrastive Distillation for Image-Text Retrieval—0
A Dense Representation Framework for Lexical and Semantic MatchingCode1
Towards Robust Ranker for Text Retrieval—0
MixGen: A New Multi-Modal Data AugmentationCode1
Coarse-to-Fine Vision-Language Pre-training with Fusion in the BackboneCode1
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