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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 121–130 of 671 papers

TitleStatusHype
PRIOR: Prototype Representation Joint Learning from Medical Images and ReportsCode1
mCLIP: Multilingual CLIP via Cross-lingual TransferCode1
Learning to Rank in Generative RetrievalCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive TrainingCode1
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
Global and Local Semantic Completion Learning for Vision-Language Pre-trainingCode1
Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New BenchmarkCode1
Revisiting the Role of Language Priors in Vision-Language ModelsCode1
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language ModelsCode1
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