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 7851–7875 of 14297 papers

TitleStatusHype
Indicative Image Retrieval: Turning Blackbox Learning into Grey—0
Learning Deep Semantic Model for Code Search using CodeSearchNet CorpusCode1
The Role of Reusable and Single-Use Side Information in Private Information Retrieval—0
Phase Retrieval for Radar Waveform Design—0
A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment—0
Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation—0
Dissecting the impact of different loss functions with gradient surgery—0
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked PositivesCode1
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and LanguagesCode1
Epistemic AI platform accelerates innovation by connecting biomedical knowledge—0
Discriminative Supervised Subspace Learning for Cross-modal Retrieval—0
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent DomainsCode0
Can Old TREC Collections Reliably Evaluate Modern Neural Retrieval Models?—0
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models—0
On Uniform Boundedness Properties of SGD and its Momentum Variants—0
Zero-Shot Sketch Based Image Retrieval using Graph Transformer—0
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series—0
Patapasco: A Python Framework for Cross-Language Information Retrieval ExperimentsCode1
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image RetrievalCode1
HC4: A New Suite of Test Collections for Ad Hoc CLIRCode0
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access—0
Learning to Minimize the Remainder in Supervised LearningCode0
Reading-strategy Inspired Visual Representation Learning for Text-to-Video RetrievalCode1
Question rewriting? Assessing its importance for conversational question answeringCode0
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data RegimeCode0
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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