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

Showing 30263050 of 14297 papers

TitleStatusHype
Learning to Match Mathematical Statements with ProofsCode0
Learning to Match Using Local and Distributed Representations of Text for Web SearchCode0
Learning to Prune in Metric and Non-Metric SpacesCode0
BehanceQA: A New Dataset for Identifying Question-Answer Pairs in Video TranscriptsCode0
Learning to Learn from Web Data through Deep Semantic EmbeddingsCode0
Learning to Locate Visual Answer in Video Corpus Using QuestionCode0
Learning to Rank Context for Named Entity Recognition Using a Synthetic DatasetCode0
An Efficient Combinatorial Optimization Model Using Learning-to-Rank DistillationCode0
Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented GenerationCode0
Learning to Ask: Question-based Sequential Bayesian Product SearchCode0
Learning to compress and search visual data in large-scale systemsCode0
BCTH: A Novel Text Hashing Approach via Bayesian ClusteringCode0
Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB ImagesCode0
Learning Visual Actions Using Multiple Verb-Only LabelsCode0
A Dataset and Framework for Learning State-invariant Object RepresentationsCode0
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event SequencesCode0
Bayesian multi-exposure image fusion for robust high dynamic range ptychographyCode0
Learning Spatial-context-aware Global Visual Feature Representation for Instance Image RetrievalCode0
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature EngineeringCode0
Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length ExtrapolationCode0
Learning semantic sentence representations from visually grounded language without lexical knowledgeCode0
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval ServiceCode0
Learning Retrieval Augmentation for Personalized Dialogue GenerationCode0
A Deep Learning Architecture for Passive Microwave Precipitation Retrievals using CloudSat and GPM DataCode0
Learning Permutation-Invariant Embeddings for Description Logic ConceptsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified