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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 511–520 of 671 papers

TitleStatusHype
Leveraging Generative Language Models for Weakly Supervised Sentence Component Analysis in Video-Language Joint Learning—0
Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships—0
Lifelong learning for text retrieval and recognition in historical handwritten document collections—0
LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models—0
Linq-Embed-Mistral Technical Report—0
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning—0
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models—0
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval—0
LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval—0
LuoJiaHOG: A Hierarchy Oriented Geo-aware Image Caption Dataset for Remote Sensing Image-Text Retrival—0
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