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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
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective—0
V^2Dial: Unification of Video and Visual Dialog via Multimodal Experts—0
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations—0
ABC: Achieving Better Control of Multimodal Embeddings using VLMs—0
Progressive Local Alignment for Medical Multimodal Pre-training—0
How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching—0
Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts—0
ATRI: Mitigating Multilingual Audio Text Retrieval Inconsistencies by Reducing Data Distribution ErrorsCode0
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features—0
LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval—0
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