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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 401–410 of 671 papers

TitleStatusHype
HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval—0
Retrieval-based Disentangled Representation Learning with Natural Language Supervision—0
Benchmarking Robustness of Multimodal Image-Text Models under Distribution ShiftCode1
FlexiViT: One Model for All Patch SizesCode1
Pre-trained Language Models Can be Fully Zero-Shot LearnersCode0
NLIP: Noise-robust Language-Image Pre-training—0
Attentive Deep Neural Networks for Legal Document Retrieval—0
Scale-Semantic Joint Decoupling Network for Image-text Retrieval in Remote Sensing—0
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue DatasetCode1
Named Entity and Relation Extraction with Multi-Modal Retrieval—0
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