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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 1–10 of 671 papers

TitleStatusHype
Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval—0
Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese RegulationsCode0
GLAP: General contrastive audio-text pretraining across domains and languagesCode2
Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration—0
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention RecyclingCode0
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document ReasoningCode2
Adding simple structure at inference improves Vision-Language CompositionalityCode0
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model EvaluationCode2
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision ModelsCode1
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text RetrievalCode1
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