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

Showing 676700 of 14297 papers

TitleStatusHype
Disentangled Representation Learning for Text-Video RetrievalCode1
Boosting vision transformers for image retrievalCode1
Disentangling Derivatives, Uncertainty and Error in Gaussian Process ModelsCode1
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose EstimationCode1
Boosting Healthcare LLMs Through Retrieved ContextCode1
Disentangled Modeling of Domain and Relevance for Adaptable Dense RetrievalCode1
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text RetrievalCode1
BookWorm: A Dataset for Character Description and AnalysisCode1
Boosting Co-teaching with Compression Regularization for Label NoiseCode1
Boilerplate Removal using a Neural Sequence Labeling ModelCode1
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language InferenceCode1
Dissecting Fine-Tuning Unlearning in Large Language ModelsCode1
A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal RetrievalCode1
BMRetriever: Tuning Large Language Models as Better Biomedical Text RetrieversCode1
Discovering Mathematical Objects of Interest -- A Study of Mathematical NotationsCode1
GLOW : Global Weighted Self-Attention Network for Web SearchCode1
A Dense Representation Framework for Lexical and Semantic MatchingCode1
Broken Neural Scaling LawsCode1
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and MappingCode1
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph AugmentationCode1
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical ResearchCode1
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence AnnotationCode1
Divide&Classify: Fine-Grained Classification for City-Wide Visual Geo-LocalizationCode1
Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video RetrievalCode1
DiffusionRet: Generative Text-Video Retrieval with Diffusion ModelCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified