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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 281–290 of 671 papers

TitleStatusHype
Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach—0
DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions—0
Expertized Caption Auto-Enhancement for Video-Text RetrievalCode0
Scientometric Analysis of the German IR Community within TREC & CLEF—0
Large Vision-Language Models for Knowledge-Grounded Data Annotation of MemesCode0
MASS: Overcoming Language Bias in Image-Text Matching—0
TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval—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
Rethinking Noisy Video-Text Retrieval via Relation-aware Alignment—0
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