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 3101–3125 of 14297 papers

TitleStatusHype
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature EngineeringCode0
Learning Spatial-context-aware Global Visual Feature Representation for Instance Image RetrievalCode0
A Dataset and Framework for Learning State-invariant Object RepresentationsCode0
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval ServiceCode0
Learning semantic sentence representations from visually grounded language without lexical knowledgeCode0
Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented GenerationCode0
Learning to Retrieve Engaging Follow-Up QueriesCode0
Learning Permutation-Invariant Embeddings for Description Logic ConceptsCode0
Learning Ordered Representations with Nested DropoutCode0
Learning Metrics from Teachers: Compact Networks for Image EmbeddingCode0
Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning from Unlabeled Videos and 3D-Shape RetrievalCode0
Learning Retrieval Augmentation for Personalized Dialogue GenerationCode0
Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text RetrievalCode0
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent DomainsCode0
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video HashingCode0
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context UnderstandingCode0
Auto-ReID: Searching for a Part-aware ConvNet for Person Re-IdentificationCode0
Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin SoftmaxCode0
Learning Self-Regularized Adversarial Views for Self-Supervised Vision TransformersCode0
Accommodating Audio Modality in CLIP for Multimodal ProcessingCode0
Analyzing Research Trends in Inorganic Materials Literature Using NLPCode0
Learning Dynamic Author Representations with Temporal Language ModelsCode0
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question AnsweringCode0
Adding simple structure at inference improves Vision-Language CompositionalityCode0
Learning Dual Retrieval Module for Semi-supervised Relation ExtractionCode0
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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