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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 161–170 of 671 papers

TitleStatusHype
Learning to Rank in Generative RetrievalCode1
Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical AlignmentCode1
Densifying Sparse Representations for Passage Retrieval by Representational SlicingCode1
Fine-Tuning LLaMA for Multi-Stage Text RetrievalCode1
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue DatasetCode1
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial TrajectoryCode1
A Deep Local and Global Scene-Graph Matching for Image-Text RetrievalCode1
FlexiViT: One Model for All Patch SizesCode1
Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive TrainingCode1
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak DecoderCode1
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