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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 311–320 of 671 papers

TitleStatusHype
Modelling Stopping Criteria for Search Results using Poisson ProcessesCode0
NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal EmbeddingsCode0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation FunctionsCode0
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention RecyclingCode0
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional ExpertsCode0
MHSAN: Multi-Head Self-Attention Network for Visual Semantic EmbeddingCode0
Mistral-SPLADE: LLMs for better Learned Sparse RetrievalCode0
MeTA: A Unified Toolkit for Text Retrieval and AnalysisCode0
HADA: A Graph-based Amalgamation Framework in Image-text RetrievalCode0
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