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 2501–2525 of 14297 papers

TitleStatusHype
A Comparison of Supervised Learning to Match Methods for Product SearchCode1
A Generic Visualization Approach for Convolutional Neural NetworksCode1
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-IdentificationCode1
Consensus-Aware Visual-Semantic Embedding for Image-Text MatchingCode1
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF RelocalizationCode1
Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking PlatformCode1
Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social MediaCode1
MosAIc: Finding Artistic Connections across Culture with Conditional Image RetrievalCode1
GLOW : Global Weighted Self-Attention Network for Web SearchCode1
Generalized Few-Shot Video Classification with Video Retrieval and Feature GenerationCode1
On Learning Semantic Representations for Million-Scale Free-Hand SketchesCode1
Language-agnostic BERT Sentence EmbeddingCode1
Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringCode1
Fused Text Recogniser and Deep Embeddings Improve Word Recognition and RetrievalCode1
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalCode1
Modality-Agnostic Attention Fusion for visual search with text feedbackCode1
Learning Sparse Prototypes for Text GenerationCode1
Asymmetric metric learning for knowledge transferCode1
Answering Questions on COVID-19 in Real-TimeCode1
RepBERT: Contextualized Text Embeddings for First-Stage RetrievalCode1
Graph Optimal Transport for Cross-Domain AlignmentCode1
Pre-training via ParaphrasingCode1
Multilingual Jointly Trained Acoustic and Written Word EmbeddingsCode1
Robot Object Retrieval with Contextual Natural Language QueriesCode1
Rescaling Egocentric VisionCode1
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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