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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 1826–1850 of 14297 papers

TitleStatusHype
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative TrainingCode1
HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer RerankingCode1
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich NetworksCode1
Visually-Augmented Language ModelingCode1
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity RecognitionCode1
Table Retrieval May Not Necessitate Table-specific Model DesignCode1
Entailment Tree Explanations via Iterative Retrieval-Generation ReasonerCode1
Dialog Inpainting: Turning Documents into DialogsCode1
A CLIP-Hitchhiker's Guide to Long Video RetrievalCode1
CascadER: Cross-Modal Cascading for Knowledge Graph Link PredictionCode1
ScAN: Suicide Attempt and Ideation Events DatasetCode1
Contrastive Supervised Distillation for Continual Representation LearningCode1
Identical Image Retrieval using Deep LearningCode1
UL2: Unifying Language Learning ParadigmsCode1
CODEC: Complex Document and Entity CollectionCode1
Improved Evaluation and Generation of Grid Layouts using Distance Preservation Quality and Linear Assignment SortingCode1
Introspective Deep Metric Learning for Image RetrievalCode1
CCMB: A Large-scale Chinese Cross-modal BenchmarkCode1
Dimension Reduction for Efficient Dense Retrieval via Conditional AutoencoderCode1
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image MatchingCode1
Cross-modal Contrastive Learning for Speech TranslationCode1
TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation RecognitionCode1
Hyperbolic Relevance Matching for Neural Keyphrase ExtractionCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
CenterCLIP: Token Clustering for Efficient Text-Video RetrievalCode1
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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