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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
A Replication Study of Dense Passage RetrieverCode2
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model EvaluationCode2
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality InversionCode2
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsCode2
Frozen Transformers in Language Models Are Effective Visual Encoder LayersCode2
GLAP: General contrastive audio-text pretraining across domains and languagesCode2
Cross-lingual and Multilingual CLIPCode2
AudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language ModelsCode2
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text RetrievalCode2
Efficient Remote Sensing with Harmonized Transfer Learning and Modality AlignmentCode2
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