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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 371–380 of 671 papers

TitleStatusHype
Are we there yet? Exploring clinical domain knowledge of BERT models—0
Assessing Brittleness of Image-Text Retrieval Benchmarks from Vision-Language Models Perspective—0
Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval—0
Attentive Deep Neural Networks for Legal Document Retrieval—0
Audio-text Retrieval in Context—0
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP—0
Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval—0
Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses—0
Beat: Bi-directional One-to-Many Embedding Alignment for Text-based Person Retrieval—0
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving—0
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