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 3801–3825 of 14297 papers

TitleStatusHype
Differentiable Microscopy Designs an All Optical Phase Retrieval Microscope—0
Bidirectional Retrieval Made Simple—0
Efficient Media Retrieval from Non-Cooperative Queries—0
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification—0
Differentiable SAR Renderer and SAR Target Reconstruction—0
Differentiable Top-k Operator with Optimal Transport—0
Data Augmentation for Biomedical Factoid Question Answering—0
Differentiable Top-k with Optimal Transport—0
Differential EEG Characteristics during Working Memory Encoding and Re-encoding—0
Differential Geometric Retrieval of Deep Features—0
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval—0
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering—0
Differential Privacy with Random Projections and Sign Random Projections—0
Differentiating Phrase Structure Parsing and Memory Retrieval in the Brain—0
Automatic Separation of Compound Figures in Scientific Articles—0
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models—0
An Exam-based Evaluation Approach Beyond Traditional Relevance Judgments—0
Diffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D—0
Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D—0
Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines—0
Analysis of Plan-based Retrieval for Grounded Text Generation—0
Diffusion Processes for Retrieval Revisited—0
Accept the Modality Gap: An Exploration in the Hyperbolic Space—0
DiffusionVMR: Diffusion Model for Joint Video Moment Retrieval and Highlight Detection—0
Efficient Machine Translation Domain Adaptation—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