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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 51–75 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
Scientometric Analysis of the German IR Community within TREC & CLEF—0
Large Vision-Language Models for Knowledge-Grounded Data Annotation of MemesCode0
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language ModelsCode7
MASS: Overcoming Language Bias in Image-Text Matching—0
TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval—0
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific LiteratureCode2
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training—0
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation—0
V^2Dial: Unification of Video and Visual Dialog via Multimodal Experts—0
Rethinking Noisy Video-Text Retrieval via Relation-aware Alignment—0
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR—0
CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval—0
The Text Classification Pipeline: Starting Shallow going Deeper—0
GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based SearchCode1
Optimizing Multi-Stage Language Models for Effective Text Retrieval—0
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