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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 211–220 of 671 papers

TitleStatusHype
CoSMo: Content-Style Modulation for Image Retrieval With Text FeedbackCode1
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image RecognitionCode1
FuseCap: Leveraging Large Language Models for Enriched Fused Image CaptionsCode1
Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge TransferringCode1
Coarse-to-Fine Vision-Language Pre-training with Fusion in the BackboneCode1
FlexiViT: One Model for All Patch SizesCode1
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents IntegrationCode1
Learning Video Context as Interleaved Multimodal SequencesCode1
GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based SearchCode1
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency BenefitsCode1
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