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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 61–70 of 671 papers

TitleStatusHype
Scientometric Analysis of the German IR Community within TREC & CLEF—0
Large Vision-Language Models for Knowledge-Grounded Data Annotation of MemesCode0
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language ModelsCode7
MASS: Overcoming Language Bias in Image-Text Matching—0
TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval—0
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific LiteratureCode2
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training—0
V^2Dial: Unification of Video and Visual Dialog via Multimodal Experts—0
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation—0
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR—0
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