SOTAVerified

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 6251–6275 of 14297 papers

TitleStatusHype
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
Accessibility in Information Retrieval—0
Data description and retrieval using periods represented by uncertain time intervals—0
Automatic Synthesis of High-Quality Triplet Data for Composed Image Retrieval—0
Database Search vs. Information Retrieval: A Novel Method for Studying Natural Language Querying of Semi-Structured Data—0
Database-Augmented Query Representation for Information Retrieval—0
Analysis of Search Stratagem Utilisation—0
Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training—0
Data Augmentation for Text-based Person Retrieval Using Large Language Models—0
Automatic Spatial Context-Sensitive Cloud/Cloud-Shadow Detection in Multi-Source Multi-Spectral Earth Observation Images: AutoCloud+—0
Analysis of Robocode Robot Adaptive Confrontation Based on Zero-Sum Game—0
Data Augmentation for Biomedical Factoid Question Answering—0
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering—0
Automatic Separation of Compound Figures in Scientific Articles—0
Darwinian Model Upgrades: Model Evolving with Selective Compatibility—0
Automatic Recall of Software Lessons Learned for Software Project Managers—0
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation—0
DART^3: Leveraging Distance for Test Time Adaptation in Person Re-Identification—0
Automatic Question Answering for Medical MCQs: Can It go Further than Information Retrieval?—0
Analysis of Plan-based Retrieval for Grounded Text Generation—0
A Dataset for Sentence Retrieval for Open-Ended Dialogues—0
Accept the Modality Gap: An Exploration in the Hyperbolic Space—0
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer—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