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 7326–7350 of 14297 papers

TitleStatusHype
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning—0
Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs—0
Learning by Analogy: Enhancing Few-Shot Prompting for Math Word Problem Solving with Computational Graph-Based Retrieval—0
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision—0
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving—0
Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning—0
Lensless hyperspectral imaging by Fourier transform spectroscopy for broadband visible light: phase retrieval technique—0
Event Retrieval Using Motion Barcodes—0
Event Retrieval in Large Video Collections with Circulant Temporal Encoding—0
BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verification—0
An Enhanced Object Detection Model for Scene Graph Generation—0
Denoising Attention for Query-aware User Modeling in Personalized Search—0
Learning Concordant Attention via Target-aware Alignment for Visible-Infrared Person Re-identification—0
Classification of Goods Using Text Descriptions With Sentences Retrieval—0
Event Presence Prediction Helps Trigger Detection Across Languages—0
EventNet: A Large Scale Structured Concept Library for Complex Event Detection in Video—0
Denoising Nearest Neighbor Graph via Continuous CRF for Visual Re-ranking without Fine-tuning—0
Learning Contextualized Music Semantics from Tags via a Siamese Network—0
Learning Contextualized Semantics from Co-occurring Terms via a Siamese Architecture—0
Classification in the dark using tactile exploration—0
A Review of Deep Learning for Video Captioning—0
Event GDR: Event-Centric Generative Document Retrieval—0
Learning Cross-Lingual IR from an English Retriever—0
Event Extraction in Video Transcripts—0
Classification and Retrieval of Digital Pathology Scans: A New Dataset—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