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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

Showing 5160 of 671 papers

TitleStatusHype
A Replication Study of Dense Passage RetrieverCode2
CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation AlignmentCode2
AudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language ModelsCode2
Distillation Enhanced Generative RetrievalCode2
Cross-lingual and Multilingual CLIPCode2
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document ReasoningCode2
DreamLIP: Language-Image Pre-training with Long CaptionsCode2
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open WorldCode2
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model EvaluationCode2
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine LearningCode2
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