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 8326–8350 of 14297 papers

TitleStatusHype
Where were my keys? -- Aggregating Spatial-Temporal Instances of Objects for Efficient Retrieval over Long Periods of Time—0
Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantization—0
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature EngineeringCode0
Wacky Weights in Learned Sparse Representations and the Revenge of Score-at-a-Time Query Evaluation—0
Multimodal Semi-Supervised Learning for 3D ObjectsCode1
MIC: Model-agnostic Integrated Cross-channel Recommenders—0
Wav2CLIP: Learning Robust Audio Representations From CLIPCode1
Text-Based Person Search with Limited DataCode1
Privacy in Open Search: A Review of Challenges and Solutions—0
VLDeformer: Vision-Language Decomposed Transformer for Fast Cross-Modal Retrieval—0
JavaBERT: Training a transformer-based model for the Java programming languageCode0
Contrastive Document Representation Learning with Graph Attention Networks—0
DEEPAGÉ: Answering Questions in Portuguese about the Brazilian EnvironmentCode0
TLDR: Twin Learning for Dimensionality ReductionCode1
Compositional Attention: Disentangling Search and RetrievalCode1
Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes—0
Low-Precision Quantization for Efficient Nearest Neighbor Search—0
Contrastive Learning of Visual-Semantic Embeddings—0
SPE: Symmetrical Prompt Enhancement for Factual Knowledge Retrieval—0
Multimodal Entity Tagging with Multimodal Knowledge Base—0
Semantic Search as Extractive Paraphrase Span Detection—0
Challenges in Generalization in Open Domain Question Answering—0
PDMM: A novel Primal-Dual Majorization-Minimization algorithm for Poisson Phase-Retrieval problem—0
Leveraging Knowledge in Multilingual Commonsense Reasoning—0
Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling—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