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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 601–610 of 671 papers

TitleStatusHype
NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal EmbeddingsCode0
Embracing Language Inclusivity and Diversity in CLIP through Continual Language LearningCode0
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late InteractionCode0
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural SupervisionCode0
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrievalCode0
VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language ModelsCode0
Multi-stage Pre-training over Simplified Multimodal Pre-training ModelsCode0
Retrieval Augmentation for Deep Neural NetworksCode0
Diving Deep into the Motion Representation of Video-Text ModelsCode0
Dissecting Deep Metric Learning Losses for Image-Text RetrievalCode0
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