SOTAVerified

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 521–530 of 671 papers

TitleStatusHype
CLIP2TV: Align, Match and Distill for Video-Text Retrieval—0
FILIP: Fine-grained Interactive Language-Image Pre-TrainingCode1
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-ExpertsCode1
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak DecoderCode1
Deep Keyphrase Completion—0
Dense Hierarchical Retrieval for Open-Domain Question AnsweringCode1
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations—0
ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation—0
Adversarial Retriever-Ranker for dense text retrieval—0
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