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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 221–230 of 671 papers

TitleStatusHype
Multiscale Matching Driven by Cross-Modal Similarity Consistency for Audio-Text Retrieval—0
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text RetrievalCode2
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?—0
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality TeachersCode4
Multimodal Learned Sparse Retrieval with Probabilistic Expansion ControlCode1
Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval—0
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings—0
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning—0
PIRB: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods—0
LongAgent: Scaling Language Models to 128k Context through Multi-Agent CollaborationCode1
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