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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 51–60 of 671 papers

TitleStatusHype
Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts—0
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense FeaturesCode0
ATRI: Mitigating Multilingual Audio Text Retrieval Inconsistencies by Reducing Data Distribution ErrorsCode0
PeerQA: A Scientific Question Answering Dataset from Peer ReviewsCode1
LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval—0
Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach—0
Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal UnderstandingCode3
DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions—0
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality InversionCode2
Expertized Caption Auto-Enhancement for Video-Text RetrievalCode0
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