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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 126–150 of 671 papers

TitleStatusHype
Contrastive Audio-Language Learning for MusicCode1
Global and Local Semantic Completion Learning for Vision-Language Pre-trainingCode1
Generative Multi-hop RetrievalCode1
A Deep Local and Global Scene-Graph Matching for Image-Text RetrievalCode1
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image RecognitionCode1
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial TrajectoryCode1
FuseCap: Leveraging Large Language Models for Enriched Fused Image CaptionsCode1
Frozen in Time: A Joint Video and Image Encoder for End-to-End RetrievalCode1
GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based SearchCode1
GOAL: Global-local Object Alignment LearningCode1
I0T: Embedding Standardization Method Towards Zero Modality GapCode1
FlexiViT: One Model for All Patch SizesCode1
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text RetrievalCode1
A Data-Centric Framework for Composable NLP WorkflowsCode1
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning NetworkCode1
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding EvaluationCode1
Fine-grained Video-Text Retrieval with Hierarchical Graph ReasoningCode1
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge BasesCode1
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-trainingCode1
Fast and Light-Weight Answer Text Retrieval in Dialogue SystemsCode1
Cross-modal Scene Graph Matching for Relationship-aware Image-Text RetrievalCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
Fine-Tuning LLaMA for Multi-Stage Text RetrievalCode1
FILIP: Fine-grained Interactive Language-Image Pre-TrainingCode1
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal MappingCode1
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