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 8851–8900 of 14297 papers

TitleStatusHype
Compositional Sketch SearchCode0
Hotel Recognition via Latent Image Embedding—0
Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction—0
G2DA: Geometry-Guided Dual-Alignment Learning for RGB-Infrared Person Re-Identification—0
Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks—0
Does your robot know? Enhancing children's information retrieval through spoken conversation with responsible robots—0
Towards Axiomatic Explanations for Neural Ranking Models—0
Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual QualitiesCode1
Can BERT Dig It? -- Named Entity Recognition for Information Retrieval in the Archaeology Domain—0
Precise phase retrieval for propagation-based images using discrete mathematics—0
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLPCode1
Deep Hashing with Hash Center Update for Efficient Image Retrieval—0
A deep learning approach to clustering visual arts—0
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural NetworksCode0
A comprehensive solution to retrieval-based chatbot construction—0
AugNet: End-to-End Unsupervised Visual Representation Learning with Image AugmentationCode1
Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identificationCode1
Linguistically Informed Masking for Representation Learning in the Patent DomainCode0
AUGNLG: Few-shot Natural Language Generation using Self-trained Data AugmentationCode1
Cross-Modal Discrete Representation Learning—0
Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval ApproachCode0
Revisiting Contrastive Methods for Unsupervised Learning of Visual RepresentationsCode2
Time-Frequency Phase Retrieval for Audio -- The Effect of Transform ParametersCode0
Single-Server Private Linear Transformation: The Joint Privacy Case—0
Phase Retrieval using Single-Instance Deep Generative Prior—0
Learning to Rank Words: Optimizing Ranking Metrics for Word SpottingCode0
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question AnsweringCode1
Deep Random Projection Outlyingness for Unsupervised Anomaly Detection—0
ConSTR: A Contextual Search Term Recommender—0
CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question AnsweringCode1
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding EvaluationCode1
Neural Extractive Search—0
Phase retrieval with physics informed zero-shot learning—0
Optimization of Service Addition in Multilevel Index Model for Edge Computing—0
SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor LearningCode0
Conversational Fashion Image Retrieval via Multiturn Natural Language FeedbackCode1
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine ReadingCode0
Pre-trained Language Model for Web-scale Retrieval in Baidu Search—0
Video Imprint—0
A Comprehensive Assessment of Dialog Evaluation MetricsCode1
Diversity driven Query Rewriting in Search Advertising—0
Cross-language Sentence Selection via Data Augmentation and Rationale Training—0
Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning—0
A Deep Local and Global Scene-Graph Matching for Image-Text RetrievalCode1
ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency—0
Retrieve & Memorize: Dialog Policy Learning with Multi-Action MemoryCode0
Semantic-WER: A Unified Metric for the Evaluation of ASR Transcript for End Usability—0
Reordering Examples Helps during Priming-based Few-Shot LearningCode0
A Dataset and Baselines for Multilingual Reply SuggestionCode0
Bandit Phase Retrieval—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