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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 226–250 of 671 papers

TitleStatusHype
Eye-gaze Guided Multi-modal Alignment for Medical Representation LearningCode1
Fast and Light-Weight Answer Text Retrieval in Dialogue SystemsCode1
ComCLIP: Training-Free Compositional Image and Text MatchingCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
FuseCap: Leveraging Large Language Models for Enriched Fused Image CaptionsCode1
I0T: Embedding Standardization Method Towards Zero Modality GapCode1
Condenser: a Pre-training Architecture for Dense RetrievalCode1
Learning Relation Alignment for Calibrated Cross-modal RetrievalCode1
Composing Object Relations and Attributes for Image-Text MatchingCode1
Fine-grained Video-Text Retrieval with Hierarchical Graph ReasoningCode1
Fine-Tuning LLaMA for Multi-Stage Text RetrievalCode1
Consensus-Aware Visual-Semantic Embedding for Image-Text MatchingCode1
Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence RegularizationCode1
Continual learning in cross-modal retrieval—0
HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval—0
Free-Form Multi-Modal Multimedia Retrieval (4MR)—0
Context-Aware Attention Network for Image-Text Retrieval—0
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks—0
Constructing Phrase-level Semantic Labels to Form Multi-GrainedSupervision for Image-Text Retrieval—0
Attentive Deep Neural Networks for Legal Document Retrieval—0
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations—0
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval—0
FLAP: Fast Language-Audio Pre-training—0
Constructing Image-Text Pair Dataset from Books—0
Align, Adapt and Inject: Sound-guided Unified Image Generation—0
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