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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 131–140 of 671 papers

TitleStatusHype
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval—0
Pairing Clustered Inverted Indexes with kNN Graphs for Fast Approximate Retrieval over Learned Sparse Representations—0
COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language BenchmarkCode1
Toward Automatic Relevance Judgment using Vision--Language Models for Image--Text Retrieval Evaluation—0
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text RetrievalCode1
Learning Video Context as Interleaved Multimodal SequencesCode1
GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language ModelsCode0
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval—0
FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysisCode0
Multi-label Cluster Discrimination for Visual Representation LearningCode4
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