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

Showing 96519675 of 14297 papers

TitleStatusHype
Comparing Probabilistic, Distributional and Transformer-Based Models on Logical Metonymy Interpretation0
BCTH: A Novel Text Hashing Approach via Bayesian ClusteringCode0
Knowledge-Enhanced Named Entity Disambiguation for Short Text0
3218IR at SemEval-2020 Task 11: Conv1D and Word Embedding in Propaganda Span Identification at News Articles0
MusicTM-Dataset for Joint Representation Learning among Sheet Music, Lyrics, and Musical Audio0
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach0
Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics0
Differentiable Top-k with Optimal Transport0
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices0
CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code MatchingCode1
SuperLoss: A Generic Loss for Robust Curriculum LearningCode1
Soft Contrastive Learning for Visual LocalizationCode1
TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting0
Automatic Mathematical Information Retrieval to Perform Translations up to Computer Algebra Systems0
Coarse-to-Fine Memory Matching for Joint Retrieval and ClassificationCode0
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection ModelsCode0
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age0
Class-agnostic Object Detection0
cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex PolytopeCode0
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-190
MVTN: Multi-View Transformation Network for 3D Shape RecognitionCode1
Grafit: Learning fine-grained image representations with coarse labels0
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval0
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-190
Towards Zero-shot Cross-lingual Image RetrievalCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified