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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 101–110 of 671 papers

TitleStatusHype
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language?—0
Partial Scene Text RetrievalCode0
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs—0
SPECTRUM: Semantic Processing and Emotion-informed video-Captioning Through Retrieval and Understanding Modalities—0
Nearest Neighbor Normalization Improves Multimodal RetrievalCode1
Multilingual Vision-Language Pre-training for the Remote Sensing DomainCode0
Robotic State Recognition with Image-to-Text Retrieval Task of Pre-Trained Vision-Language Model and Black-Box Optimization—0
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsCode2
Do Audio-Language Models Understand Linguistic Variations?—0
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