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 3851–3900 of 14297 papers

TitleStatusHype
Database-Augmented Query Representation for Information Retrieval—0
Embedding And Clustering Your Data Can Improve Contrastive Pretraining—0
Binary Paragraph Vectors—0
Discovering beautiful attributes for aesthetic image analysis—0
Automatic Spatial Context-Sensitive Cloud/Cloud-Shadow Detection in Multi-Source Multi-Spectral Earth Observation Images: AutoCloud+—0
Discovering Entities with Just a Little Help from You—0
Discovering Latent Concepts and Exploiting Ontological Features for Semantic Text Search—0
Discovering Latent Information By Spreading Activation Algorithm For Document Retrieval—0
Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training—0
Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection—0
Discovering seminal works with marker papers—0
Data Augmentation for Text-based Person Retrieval Using Large Language Models—0
Analysis of Robocode Robot Adaptive Confrontation Based on Zero-Sum Game—0
A Dataset for Sentence Retrieval for Open-Ended Dialogues—0
Embedding Arithmetic of Multimodal Queries for Image Retrieval—0
Data Augmentation for Biomedical Factoid Question Answering—0
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering—0
Discretely Coding Semantic Rank Orders for Supervised Image Hashing—0
Automatic Separation of Compound Figures in Scientific Articles—0
Discrete Wavelet Transform and Gradient Difference based approach for text localization in videos—0
Analysis of Plan-based Retrieval for Grounded Text Generation—0
Accept the Modality Gap: An Exploration in the Hyperbolic Space—0
eLog analysis for accelerators: status and future outlook—0
Discriminative Functional Connectivity Measures for Brain Decoding—0
Darwinian Model Upgrades: Model Evolving with Selective Compatibility—0
Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation—0
Discriminative Map Retrieval Using View-Dependent Map Descriptor—0
Discriminative multi-view Privileged Information learning for image re-ranking—0
Automatic Recall of Software Lessons Learned for Software Project Managers—0
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation—0
Discriminative Semantic Transitive Consistency for Cross-Modal Learning—0
Discriminative Supervised Hashing for Cross-Modal similarity Search—0
Discriminative Supervised Subspace Learning for Cross-modal Retrieval—0
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI—0
Disentangle and denoise: Tackling context misalignment for video moment retrieval—0
DART^3: Leveraging Distance for Test Time Adaptation in Person Re-Identification—0
Automatic Question Answering for Medical MCQs: Can It go Further than Information Retrieval?—0
Emancipatory Information Retrieval—0
Embedding based on function approximation for large scale image search—0
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—0
Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier—0
Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles—0
Embedding-based Product Retrieval in Taobao Search—0
Automatic Query Optimization for Retrieving Traffic Tweets—0
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer—0
Acceleration and Implicit Regularization in Gaussian Phase Retrieval—0
Disentangling Questions from Query Generation for Task-Adaptive Retrieval—0
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces—0
Dare to Plagiarize? Plagiarized Painting Recognition and Retrieval—0
An Analysis of Semantically-Aligned Speech-Text Embeddings—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