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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 271–280 of 671 papers

TitleStatusHype
Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning—0
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection—0
Experiments with Different Indexing Techniques for Text Retrieval tasks on Gujarati Language using Bag of Words Approach—0
Assessing Brittleness of Image-Text Retrieval Benchmarks from Vision-Language Models Perspective—0
Improving Retrieval for RAG based Question Answering Models on Financial Documents—0
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models—0
Evaluation of Deep Gaussian Processes for Text Classification—0
Evaluating D-MERIT of Partial-annotation on Information Retrieval—0
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?—0
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