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 5651–5675 of 14297 papers

TitleStatusHype
Generic decoding of seen and imagined objects using hierarchical visual features—0
Generic Error Bounds for the Generalized Lasso with Sub-Exponential Data—0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
Retrieval from Mixed Sampling Frequency: Generic Identifiability in the Unit Root VAR—0
Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval—0
Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval—0
Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce—0
A Survey on Retrieval of Mathematical Knowledge—0
GenQREnsemble: Zero-Shot LLM Ensemble Prompting for Generative Query Reformulation—0
Coding for Random Projections—0
GenTREC: The First Test Collection Generated by Large Language Models for Evaluating Information Retrieval Systems—0
GeoCapsNet: Aerial to Ground view Image Geo-localization using Capsule Network—0
FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training—0
Geodesic convolutional neural networks on Riemannian manifolds—0
A Simple and Efficient Probabilistic Language model for Code-Mixed Text—0
ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual representations—0
How Relevance Emerges: Interpreting LoRA Fine-Tuning in Reranking LLMs—0
Geometric Capsule Autoencoders for 3D Point Clouds—0
Geometric Digital Twinning of Industrial Facilities: Retrieval of Industrial Shapes—0
Geometric Disentanglement for Generative Latent Shape Models—0
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation—0
Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning—0
Geometric Image Correspondence Verification by Dense Pixel Matching—0
Geometric Moment Invariants to Motion Blur—0
How to do lexical quality estimation of a large OCRed historical Finnish newspaper collection with scarce resources—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