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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8451–8475 of 14297 papers

TitleStatusHype
Graph-based Nearest Neighbor Search in Hyperbolic Spaces—0
Generating Scenes with Latent Object Models—0
Vi-MIX FOR SELF-SUPERVISED VIDEO REPRESENTATION—0
Rank4Class: Examining Multiclass Classification through the Lens of Learning to Rank—0
Calibrating Probabilistic Embeddings for Cross-Modal Retrieval—0
Multilingual Fact LinkingCode0
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning ObjectiveCode1
High-throughput lensless whole slide imaging via continuous height-varying modulation of tilted sensor—0
AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction ImagingCode1
The eDiscovery Medicine Show—0
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding—0
PDC-Net+: Enhanced Probabilistic Dense Correspondence NetworkCode1
Distributionally Robust Multi-Output Regression Ranking—0
MFAQ: a Multilingual FAQ DatasetCode1
Text-based Person Search in Full Images via Semantic-Driven Proposal GenerationCode0
Vision Transformer Hashing for Image RetrievalCode1
Self-Supervised Video Representation Learning by Video Incoherence Detection—0
Frequency Disentangled Residual Network—0
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation—0
A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval—0
A Proposal of Automatic Error Correction in Text—0
Distributed Deep Learning for Persistent Monitoring of agricultural Fields—0
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain ConversationsCode1
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation ExtractionCode1
Hierarchical Memory Matching Network for Video Object SegmentationCode1
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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