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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 31–40 of 671 papers

TitleStatusHype
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation—0
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations—0
Bridging Queries and Tables through Entities in Table Retrieval—0
LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders—0
Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval—0
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAPCode0
SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI—0
Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language ModelsCode1
Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image AnalysisCode2
GOAL: Global-local Object Alignment LearningCode1
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