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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 251–260 of 671 papers

TitleStatusHype
Breaking Language Barriers or Reinforcing Bias? A Study of Gender and Racial Disparities in Multilingual Contrastive Vision Language Models—0
Towards Cross-modal Retrieval in Chinese Cultural Heritage Documents: Dataset and Solution—0
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late InteractionCode0
A Vision-Language Foundation Model for Leaf Disease IdentificationCode0
QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort—0
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection—0
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs—0
Towards Understanding Camera Motions in Any Video—0
SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs—0
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation—0
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