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 9676–9700 of 14297 papers

TitleStatusHype
Learning Non-Metric Visual Similarity for Image Retrieval—0
Learning Object Placement by Inpainting for Compositional Data Augmentation—0
Learning of Precise Spike Times with Membrane Potential Dependent Synaptic Plasticity—0
Learning Open Domain Multi-hop Search Using Reinforcement Learning—0
Learning Optimal Tree Models Under Beam Search—0
Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding—0
Learning Personalized Alignment for Evaluating Open-ended Text Generation—0
Learning Polynomials of Few Relevant Dimensions—0
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval—0
Learning Program Representations for Food Images and Cooking Recipes—0
Learning Query Expansion over the Nearest Neighbor Graph—0
Learning Rank Functionals: An Empirical Study—0
Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval—0
Learning Relationships for Multi-View 3D Object Recognition—0
Learning Representations and Agents for Information Retrieval—0
Learning Representations by Contrasting Clusters While Bootstrapping Instances—0
Learning Representations for Zero-Shot Retrieval over Structured Data—0
Learning Representations of Entities and Relations—0
Learning Robust Hash Codes for Multiple Instance Image Retrieval—0
Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation—0
Learning Robust Visual-Semantic Embeddings—0
Learning Scalable Discriminative Dictionary with Sample Relatedness—0
Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval—0
Learning Semantic Relationships for Better Action Retrieval in Images—0
Learning Semantics for Image Annotation—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