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 7476–7500 of 14297 papers

TitleStatusHype
Learning Semantics for Image Annotation—0
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
Evaluation of Table Representations to Answer Questions from Tables in Documents : A Case Study using 3GPP Specifications—0
Evaluation of some Information Retrieval models for Gujarati Ad hoc Monolingual Tasks—0
Visual Similarity Attention—0
A Gold Standard for CLIR evaluation in the Organic Agriculture Domain—0
Learning Similarity Preserving Binary Codes for Recommender Systems—0
Linear Regression Evaluation of Search Engine Automatic Search Performance Based on Hadoop and R—0
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval—0
Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language—0
Clarification of Video Retrieval Query Results by the Automated Insertion of Supporting Shots—0
Evaluation of RAG Metrics for Question Answering in the Telecom Domain—0
Detection, Retrieval, and Explanation Unified: A Violence Detection System Based on Knowledge Graphs and GAT—0
Evaluation of quadratic phase hologram calculation algorithms in the Fourier regime—0
Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis—0
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering—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
A Retrieval Framework and Implementation for Electronic Documents with Similar Layouts—0
A Tale of Two Efficient and Informative Negative Sampling Distributions—0
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics—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