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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 341–350 of 671 papers

TitleStatusHype
Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI—0
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG—0
Establishing a Foundation for Tetun Ad-Hoc Text Retrieval: Stemming, Indexing, Retrieval, and Ranking—0
Evaluating D-MERIT of Partial-annotation on Information Retrieval—0
Evaluation of Deep Gaussian Processes for Text Classification—0
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models—0
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
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
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