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 9701–9725 of 14297 papers

TitleStatusHype
Learning Semantic Similarities for Prototypical Classifiers—0
Learning Semantic Similarity for Very Short Texts—0
Learning Semantics with Deep Belief Network for Cross-Language Information Retrieval—0
Learning Shared Semantic Space with Correlation Alignment for Cross-modal Event Retrieval—0
Visual Similarity Attention—0
Learning Similarity Preserving Binary Codes for Recommender Systems—0
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval—0
Learning Sparse Disentangled Representations for Multimodal Exclusion Retrieval—0
Learning Spatial Relationships between Samples of Patent Image Shapes—0
Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis—0
Learning Structural Representations for Recipe Generation and Food Retrieval—0
Learning Structures in Earth Observation Data with Gaussian Processes—0
Learning Style Similarity for Searching Infographics—0
Learning Stylized Character Expressions from Humans—0
Learning Synthetic to Real Transfer for Localization and Navigational Tasks—0
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation—0
Learning Temporal Embeddings for Complex Video Analysis—0
Learning Term Discrimination—0
Learning Term Weights for Ad-hoc Retrieval—0
Learning text-to-video retrieval from image captioning—0
Learning the Visualness of Text Using Large Vision-Language Models—0
Learning to Cluster Faces via Transformer—0
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation—0
Learning to Decompose Visual Features with Latent Textual Prompts—0
Learning to Detect Human-Object Interactions With Knowledge—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