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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
Distillation Enhanced Generative RetrievalCode2
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text RetrievalCode2
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality InversionCode2
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsCode2
Frozen Transformers in Language Models Are Effective Visual Encoder LayersCode2
GLAP: General contrastive audio-text pretraining across domains and languagesCode2
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
Cross-lingual and Multilingual CLIPCode2
DreamLIP: Language-Image Pre-training with Long CaptionsCode2
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