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 8601–8625 of 14297 papers

TitleStatusHype
End-to-End Open Vocabulary Keyword SearchCode0
TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment—0
Deep Relational Metric LearningCode1
Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval—0
VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case LawCode0
Web image search engine based on LSH index and CNN Resnet50—0
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric LearningCode0
Semi-supervised Network Embedding with Differentiable Deep Quantisation—0
Unsupervised Domain-adaptive Hash for Networks—0
Multi-Server Private Linear Computation with Joint and Individual Privacy Guarantees—0
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image—0
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You NeedCode1
Self-Supervised Video Representation Learning with Meta-Contrastive Network—0
Retrieval and Localization with Observation Constraints—0
Contrastive Language-Image Pre-training for the Italian LanguageCode1
Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage ExpansionCode1
ChMusic: A Traditional Chinese Music Dataset for Evaluation of Instrument RecognitionCode1
Mr. TyDi: A Multi-lingual Benchmark for Dense RetrievalCode1
Learning Implicit User Profiles for Personalized Retrieval-Based ChatbotCode1
Learning Federated Representations and Recommendations with Limited Negatives—0
Analogical Learning in Tactical Decision Games—0
X-modaler: A Versatile and High-performance Codebase for Cross-modal AnalyticsCode1
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity—0
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks—0
Universal Cross-Domain Retrieval: Generalizing Across Classes and DomainsCode1
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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