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 8076–8100 of 14297 papers

TitleStatusHype
Semantic Search as Extractive Paraphrase Span DetectionCode0
DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification—0
Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information NeedsCode0
Prompting Visual-Language Models for Efficient Video UnderstandingCode1
Learning music audio representations via weak language supervisionCode1
Improving language models by retrieving from trillions of tokensCode0
Everything at Once -- Multi-modal Fusion Transformer for Video RetrievalCode1
Unsupervised Representation Learning via Neural Activation CodingCode0
Time-Equivariant Contrastive Video Representation Learning—0
Cross-modal Manifold Cutmix for Self-supervised Video Representation Learning—0
Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices—0
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation LearningCode1
sub-region localized hashing for fine-grained image retrievalCode0
A Sensitivity Analysis of the MSMARCO Passage Collection—0
Forward Compatible Training for Large-Scale Embedding Retrieval SystemsCode1
Embedding Arithmetic of Multimodal Queries for Image Retrieval—0
Variational Autoencoder with CCA for Audio-Visual Cross-Modal Retrieval—0
Learning Query Expansion over the Nearest Neighbor Graph—0
Open-CyKG: An Open Cyber Threat Intelligence Knowledge GraphCode1
Fast Electromagnetic Validations of Large-Scale Digital Coding Metasurfaces Accelerated by Recurrence Rebuild and Retrieval Method—0
HHF: Hashing-guided Hinge Function for Deep Hashing RetrievalCode1
3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI Image Similarity ChallengeCode1
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video RetrievalCode1
Music-to-Dance Generation with Optimal Transport—0
Multilingual training for Software Engineering—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