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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 11–20 of 671 papers

TitleStatusHype
MTEB: Massive Text Embedding BenchmarkCode4
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text RetrieversCode4
Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal UnderstandingCode3
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language ModelsCode3
ONE-PEACE: Exploring One General Representation Model Toward Unlimited ModalitiesCode3
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content CreationCode3
Vision-Language Pre-training: Basics, Recent Advances, and Future TrendsCode3
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation ModelsCode3
GLAP: General contrastive audio-text pretraining across domains and languagesCode2
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document ReasoningCode2
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