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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 51–75 of 671 papers

TitleStatusHype
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsCode2
Dense Text Retrieval based on Pretrained Language Models: A SurveyCode2
Where am I? Cross-View Geo-localization with Natural Language DescriptionsCode2
GLAP: General contrastive audio-text pretraining across domains and languagesCode2
Efficient Remote Sensing with Harmonized Transfer Learning and Modality AlignmentCode2
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsCode2
AudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language ModelsCode2
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality InversionCode2
Egocentric Video-Language PretrainingCode2
Gramian Multimodal Representation Learning and AlignmentCode2
Audio Retrieval with WavText5K and CLAP TrainingCode1
Audio Retrieval with Natural Language Queries: A Benchmark StudyCode1
Align before Fuse: Vision and Language Representation Learning with Momentum DistillationCode1
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and ReportsCode1
Dynamic Modality Interaction Modeling for Image-Text RetrievalCode1
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue DatasetCode1
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text RetrievalCode1
COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language BenchmarkCode1
A Survey of Medical Vision-and-Language Applications and Their TechniquesCode1
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial TrajectoryCode1
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware SamplingCode1
Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video RetrievalCode1
Dense Hierarchical Retrieval for Open-Domain Question AnsweringCode1
Data-Efficient Multimodal Fusion on a Single GPUCode1
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge BasesCode1
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