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 8126–8150 of 14297 papers

TitleStatusHype
Efficient Training of Retrieval Models using Negative CacheCode0
Bilingual Topic Models for Comparable Corpora—0
SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing—0
Forgetting leads to chaos in attractor networks—0
Voint Cloud: Multi-View Point Cloud Representation for 3D UnderstandingCode1
AssistSR: Task-oriented Video Segment Retrieval for Personal AI AssistantCode1
Easy Semantification of Bioassays—0
Learning Context-Aware Embedding for Person Search—0
PGGANet: Pose Guided Graph Attention Network for Person Re-identification—0
Harmonic Retrieval with L_1-Tucker Tensor Decomposition—0
Gram Barcodes for Histopathology Tissue Texture RetrievalCode0
FashionSearchNet-v2: Learning Attribute Representations with Localization for Image Retrieval with Attribute Manipulation—0
Interpreting Dense Retrieval as Mixture of Topics—0
Pre-training Methods in Information Retrieval—0
Video Content Classification using Deep LearningCode1
Predicting Document Coverage for Relation Extraction—0
An Optimal Algorithm for Finding Champions in Tournament GraphsCode1
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions—0
Streamlining Evaluation with ir-measuresCode1
Emotion Embedding Spaces for Matching Music to StoriesCode1
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles—0
GPR1200: A Benchmark for General-Purpose Content-Based Image RetrievalCode1
Evaluating the Robustness of Retrieval Pipelines with Query Variation GeneratorsCode1
ACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based Image Retrieval—0
Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets—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