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 5576–5600 of 14297 papers

TitleStatusHype
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models—0
DiffPhase: Generative Diffusion-based STFT Phase Retrieval—0
Bilinear Supervised Hashing Based on 2D Image Features—0
An Exam-based Evaluation Approach Beyond Traditional Relevance Judgments—0
Advancements in Content-Based Image Retrieval: A Comprehensive Survey of Relevance Feedback Techniques—0
Differentiating Phrase Structure Parsing and Memory Retrieval in the Brain—0
Differential Privacy with Random Projections and Sign Random Projections—0
Bilinear Attention Networks for Person Retrieval—0
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval—0
CodeSSM: Towards State Space Models for Code Understanding—0
An Exact Algorithm for F-Measure Maximization—0
Differential Geometric Retrieval of Deep Features—0
Differential EEG Characteristics during Working Memory Encoding and Re-encoding—0
Big IoT and social networking data for smart cities: Algorithmic improvements on Big Data Analysis in the context of RADICAL city applications—0
Differentiable Top-k with Optimal Transport—0
Differentiable Top-k with Optimal Transport—0
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation—0
A Convolutional Neural Network-based Patent Image Retrieval Method for Design Ideation—0
2-Factor Retrieval for Improved Human-AI Decision Making in Radiology—0
Differentiable Top-k Operator with Optimal Transport—0
Differentiable SAR Renderer and SAR Target Reconstruction—0
BIER - Boosting Independent Embeddings Robustly—0
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification—0
A New Neural Search and Insights Platform for Navigating and Organizing AI Research—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