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 9501–9525 of 14297 papers

TitleStatusHype
Learning Representations by Contrasting Clusters While Bootstrapping Instances—0
Cross-Probe BERT for Efficient and Effective Cross-Modal Search—0
Deep Retrieval: An End-to-End Structure Model for Large-Scale Recommendations—0
AriEL: Volume Coding for Sentence Generation Comparisons—0
An Empirical Exploration of Open-Set Recognition via Lightweight Statistical Pipelines—0
iPTR: Learning a representation for interactive program translation retrieval—0
Grounding Physical Object and Event Concepts Through Dynamic Visual Reasoning—0
A Truly Constant-time Distribution-aware Negative Sampling—0
Learning Semantic Similarities for Prototypical Classifiers—0
Probabilistic Multimodal Representation Learning—0
Spectrally Similar Graph Pooling—0
Semantic Hashing with Locality Sensitive Embeddings—0
VilNMN: A Neural Module Network approach to Video-Grounded Language Tasks—0
UMEC: Unified model and embedding compression for efficient recommendation systems—0
Universal Sentence Representations Learning with Conditional Masked Language Model—0
Practical Phase Retrieval: Low-Photon Holography with Untrained Priors—0
CANVASEMB: Learning Layout Representation with Large-scale Pre-training for Graphic Design—0
Incremental Embedding Learning via Zero-Shot TranslationCode0
Fast Global Convergence for Low-rank Matrix Recovery via Riemannian Gradient Descent with Random Initialization—0
A Tale of Two Efficient and Informative Negative Sampling Distributions—0
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions—0
Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings—0
Joint Verification and Reranking for Open Fact Checking Over Tables—0
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
Few-Shot Text Ranking with Meta Adapted Synthetic Weak SupervisionCode0
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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