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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 351–360 of 671 papers

TitleStatusHype
Towards a text-based quantitative and explainable histopathology image analysisCode0
CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging—0
EA-VTR: Event-Aware Video-Text Retrieval—0
CEIA: CLIP-Based Event-Image Alignment for Open-World Event-Based Understanding—0
Neurocache: Efficient Vector Retrieval for Long-range Language ModelingCode0
Memory^3: Language Modeling with Explicit Memory—0
PathAlign: A vision-language model for whole slide images in histopathology—0
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive LearningCode0
ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling—0
Evaluating D-MERIT of Partial-annotation on Information Retrieval—0
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