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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 601–610 of 671 papers

TitleStatusHype
SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI—0
Semantic Indexing of Multilingual Corpora and its Application on the History Domain—0
Semantic Search by Latent Ontological Features—0
SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs—0
Show, Recall, and Tell: Image Captioning with Recall Mechanism—0
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features—0
SILC: Improving Vision Language Pretraining with Self-Distillation—0
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval—0
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval—0
SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval—0
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