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Retrieval

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Papers

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Showing 3676–3700 of 14297 papers

TitleStatusHype
Data-Driven Design for Fourier Ptychographic Microscopy—0
An Ensemble Dialogue System for Facts-Based Sentence Generation—0
Data-Driven Design-by-Analogy: State of the Art and Future Directions—0
Automatic tagging and retrieval of E-Commerce products based on visual features—0
Towards Designing Optimal Sensing Matrices for Generalized Linear Inverse Problems—0
Dense Retrieval for Low Resource Languages -- the Case of Amharic Language—0
Beyond [CLS] through Ranking by Generation—0
Accessibility in Information Retrieval—0
Data description and retrieval using periods represented by uncertain time intervals—0
Dense Template Retrieval for Customer Support—0
Automatic Synthesis of High-Quality Triplet Data for Composed Image Retrieval—0
DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction—0
Analysis of Search Stratagem Utilisation—0
Database Search vs. Information Retrieval: A Novel Method for Studying Natural Language Querying of Semi-Structured Data—0
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval—0
Density-Wise Two Stage Mammogram Classification using Texture Exploiting Descriptors—0
Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research—0
Database-Augmented Query Representation for Information Retrieval—0
Dependencies: Formalising Semantic Catenae for Information Retrieval—0
Early Fusion Strategy for Entity-Relationship Retrieval—0
Beyond Disorder: Unveiling Cooperativeness in Multidirectional Associative Memories—0
Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals—0
Describing Colors, Textures and Shapes for Content Based Image Retrieval - A Survey—0
Describing emotions with acoustic property prompts for speech emotion recognition—0
Automatic Spatial Context-Sensitive Cloud/Cloud-Shadow Detection in Multi-Source Multi-Spectral Earth Observation Images: AutoCloud+—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53—Unverified
2ElasticsearchQueries per second21.8—Unverified
3BM25-PTQueries per second6.49—Unverified
4Rank-BM25Queries per second1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88—Unverified
2ElasticsearchQueries per second7.11—Unverified
3Rank-BM25Queries per second0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85—Unverified
2ElasticsearchQueries per second12.16—Unverified
3Rank-BM25Queries per second0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32—Unverified
2RA-VQARecall@582.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55—Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222—Unverified