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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 401–425 of 671 papers

TitleStatusHype
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval—0
Filter & Align: Leveraging Human Knowledge to Curate Image-Text Data—0
Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval—0
Constructing Image-Text Pair Dataset from Books—0
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval—0
Constructing Phrase-level Semantic Labels to Form Multi-GrainedSupervision for Image-Text Retrieval—0
Context-Aware Attention Network for Image-Text Retrieval—0
Continual learning in cross-modal retrieval—0
Contrastive Feature Masking Open-Vocabulary Vision Transformer—0
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report—0
CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging—0
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval—0
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations—0
Cross-modal Contrastive Learning for Speech Translation—0
Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval—0
A New Fine-grained Alignment Method for Image-text Matching—0
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning—0
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation—0
DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions—0
Deep Keyphrase Completion—0
Deep Learning for Video-Text Retrieval: a Review—0
Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals—0
Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection—0
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19—0
DiffATR: Diffusion-based Generative Modeling for Audio-Text Retrieval—0
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