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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 221–230 of 671 papers

TitleStatusHype
I0T: Embedding Standardization Method Towards Zero Modality GapCode1
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust LearningCode1
FILIP: Fine-grained Interactive Language-Image Pre-TrainingCode1
PeerQA: A Scientific Question Answering Dataset from Peer ReviewsCode1
Multimodal Learned Sparse Retrieval with Probabilistic Expansion ControlCode1
Eye-gaze Guided Multi-modal Alignment for Medical Representation LearningCode1
Fast and Light-Weight Answer Text Retrieval in Dialogue SystemsCode1
ComCLIP: Training-Free Compositional Image and Text MatchingCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
PRIOR: Prototype Representation Joint Learning from Medical Images and ReportsCode1
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