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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 261–270 of 671 papers

TitleStatusHype
FecTek: Enhancing Term Weight in Lexicon-Based Retrieval with Feature Context and Term-level Knowledge—0
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval—0
Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning—0
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation—0
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval—0
Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction—0
Improving embedding with contrastive fine-tuning on small datasets with expert-augmented scores—0
Exploring Combinations of Ontological Features and Keywords for Text Retrieval—0
Exploiting Visual Semantic Reasoning for Video-Text Retrieval—0
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