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 10501–10550 of 14297 papers

TitleStatusHype
Image Retrieval using Multi-scale CNN Features Pooling—0
Leveraging Cognitive Search Patterns to Enhance Automated Natural Language Retrieval Performance—0
ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs—0
Transformer Reasoning Network for Image-Text Matching and RetrievalCode1
Incorporating External Knowledge through Pre-training for Natural Language to Code GenerationCode1
Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation—0
Approximate Nearest Neighbour Search on Privacy-aware Encoding of User Locations to Identify Susceptible Infections in Simulated EpidemicsCode0
The Effect of the Multi-Layer Text Summarization Model on the Efficiency and Relevancy of the Vector Space-based Information Retrieval—0
Dual Embedding Expansion for Vehicle Re-identification—0
An approach based on Combination of Features for automatic news retrieval—0
Image Quality Assessment: Unifying Structure and Texture SimilarityCode1
Distributed Evolution of Deep Autoencoders—0
Multiple Visual-Semantic Embedding for Video Retrieval from Query Sentence—0
Musical Features for Automatic Music Transcription Evaluation—0
Targeted Attack for Deep Hashing based RetrievalCode1
On the interplay between physical and content priors in deep learning for computational imaging—0
Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)—0
SpeedNet: Learning the Speediness in VideosCode1
ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation NetworksCode0
Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences—0
Learning Spatial Relationships between Samples of Patent Image Shapes—0
Minimizing FLOPs to Learn Efficient Sparse RepresentationsCode1
Generic Error Bounds for the Generalized Lasso with Sub-Exponential Data—0
LAReQA: Language-agnostic answer retrieval from a multilingual poolCode0
Dense Passage Retrieval for Open-Domain Question AnsweringCode1
Towards Automatic Generation of Questions from Long Answers—0
Real-world Person Re-Identification via Degradation Invariance Learning—0
Stacked Convolutional Deep Encoding Network for Video-Text Retrieval—0
Learning to Scale Multilingual Representations for Vision-Language Tasks—0
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data AugmentationCode1
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples)Code1
Investigation of Singing Voice Separation for Singing Voice Detection in Polyphonic Music—0
Feature Re-Learning with Data Augmentation for Video Relevance PredictionCode1
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions—0
CSRN: Collaborative Sequential Recommendation Networks for News Retrieval—0
Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering—0
Entity Linking via Dual and Cross-Attention Encoders—0
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based ChatbotsCode1
Query Focused Multi-Document Summarization with Distant Supervision—0
Moving Metric Detection and Alerting System at eBay—0
The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection—0
Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory—0
Natural language processing for word sense disambiguation and information extraction—0
"None of the Above":Measure Uncertainty in Dialog Response Retrieval—0
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and RetrievalCode1
Complete CVDL Methodology for Investigating Hydrodynamic InstabilitiesCode0
Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval—0
Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives—0
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model—0
Deformation-Aware 3D Model Embedding and RetrievalCode1
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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