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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 561–570 of 671 papers

TitleStatusHype
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training BenchmarkCode0
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding—0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval—0
Cross-modal Contrastive Learning for Speech Translation—0
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation—0
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning—0
Constructing Phrase-level Semantic Labels to Form Multi-GrainedSupervision for Image-Text Retrieval—0
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named EntitiesCode0
CLIP2TV: Align, Match and Distill for Video-Text Retrieval—0
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval—0
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