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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 421–430 of 671 papers

TitleStatusHype
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust LearningCode1
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data—0
Dissecting Deep Metric Learning Losses for Image-Text RetrievalCode0
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval—0
An Analysis of Fusion Functions for Hybrid Retrieval—0
Image-Text Retrieval with Binary and Continuous Label Supervision—0
VTC: Improving Video-Text Retrieval with User CommentsCode1
MedCLIP: Contrastive Learning from Unpaired Medical Images and TextCode2
Vision-Language Pre-training: Basics, Recent Advances, and Future TrendsCode3
MTEB: Massive Text Embedding BenchmarkCode4
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