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 8926–8950 of 14297 papers

TitleStatusHype
Keyphrase Extraction from Scientific Articles via Extractive SummarizationCode1
Towards Multi-Modal Text-Image Retrieval to improve Human Reading—0
Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting—0
QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval—0
Improving Evidence Retrieval for Automated Explainable Fact-CheckingCode1
Cross-lingual Cross-modal Pretraining for Multimodal Retrieval—0
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering—0
How Robust are Fact Checking Systems on Colloquial Claims?—0
DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy MinimizationCode1
Evaluating Recipes Generated from Functional Object-Oriented Network—0
WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code—0
Omnizart: A General Toolbox for Automatic Music TranscriptionCode2
Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features—0
A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval—0
Controllable Gradient Item RetrievalCode0
Integrating Contextual Knowledge to Visual Features for Fine Art Classification—0
Connecting Language and Vision for Natural Language-Based Vehicle RetrievalCode1
Analogous to Evolutionary Algorithm: Designing a Unified Sequence ModelCode1
CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval—0
CNTLS: A Benchmark Dataset for Abstractive or Extractive Chinese Timeline SummarizationCode0
Control Architecture of the Double-Cross-Correlation Processor for Sampling-Rate-Offset Estimation in Acoustic Sensor Networks—0
Lightweight Cross-Lingual Sentence Representation LearningCode0
Learning Relation Alignment for Calibrated Cross-modal RetrievalCode1
Bridging Data Center AI Systems with Edge Computing for Actionable Information RetrievalCode0
Adaptive Nearest Neighbor Machine TranslationCode1
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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