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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 41–50 of 671 papers

TitleStatusHype
M2-RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards Effective and Efficient Zero-shot Video-text RetrievalCode2
Towards 3D Molecule-Text Interpretation in Language ModelsCode2
Frozen Transformers in Language Models Are Effective Visual Encoder LayersCode2
VeCLIP: Improving CLIP Training via Visual-enriched CaptionsCode2
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open WorldCode2
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote SensingCode2
RemoteCLIP: A Vision Language Foundation Model for Remote SensingCode2
PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical DocumentsCode2
Multi-modal Molecule Structure-text Model for Text-based Retrieval and EditingCode2
Dense Text Retrieval based on Pretrained Language Models: A SurveyCode2
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