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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 451–460 of 671 papers

TitleStatusHype
Experiments with Different Indexing Techniques for Text Retrieval tasks on Gujarati Language using Bag of Words Approach—0
Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning—0
Exploiting Visual Semantic Reasoning for Video-Text Retrieval—0
Exploring Combinations of Ontological Features and Keywords for Text Retrieval—0
Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning—0
FecTek: Enhancing Term Weight in Lexicon-Based Retrieval with Feature Context and Term-level Knowledge—0
CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval—0
Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach—0
FLAP: Fast Language-Audio Pre-training—0
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations—0
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