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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 241–250 of 671 papers

TitleStatusHype
Attacking Attention of Foundation Models Disrupts Downstream TasksCode0
Pre-trained Language Models Can be Fully Zero-Shot LearnersCode0
ATRI: Mitigating Multilingual Audio Text Retrieval Inconsistencies by Reducing Data Distribution ErrorsCode0
Partial Scene Text RetrievalCode0
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated ImagesCode0
FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysisCode0
OTE: Exploring Accurate Scene Text Recognition Using One TokenCode0
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional ExpertsCode0
A Hybrid Retrieval-Generation Neural Conversation ModelCode0
Exposing and Mitigating Spurious Correlations for Cross-Modal RetrievalCode0
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