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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 111–120 of 671 papers

TitleStatusHype
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric LearningCode0
Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging—0
Beyond Coarse-Grained Matching in Video-Text Retrieval—0
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning—0
Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video RetrievalCode1
LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning—0
AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models—0
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation—0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
Robotic Environmental State Recognition with Pre-Trained Vision-Language Models and Black-Box Optimization—0
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