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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 181–190 of 671 papers

TitleStatusHype
LDMol: Text-to-Molecule Diffusion Model with Structurally Informative Latent SpaceCode1
Multilingual Diversity Improves Vision-Language Representations—0
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents IntegrationCode1
Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning—0
Accelerating Transformers with Spectrum-Preserving Token MergingCode2
An Empirical Study of Excitation and Aggregation Design Adaptions in CLIP4Clip for Video-Text Retrieval—0
Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples—0
ProtT3: Protein-to-Text Generation for Text-based Protein UnderstandingCode2
Revisiting Deep Audio-Text Retrieval Through the Lens of TransportationCode1
PIR: Remote Sensing Image-Text Retrieval with Prior Instruction Representation LearningCode1
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