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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 531–540 of 671 papers

TitleStatusHype
Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval—0
MeSH-based dataset for measuring the relevance of text retrieval—0
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval—0
MIaS: Math-Aware Retrieval in Digital Mathematical Libraries—0
MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction—0
MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval—0
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs—0
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning—0
MSLKANet: A Multi-Scale Large Kernel Attention Network for Scene Text Removal—0
M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech to Image Retrieval—0
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