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 3351–3375 of 14297 papers

TitleStatusHype
An Empirical Study of Retrieval-enhanced Graph Neural NetworksCode0
LCD: Learned Cross-Domain Descriptors for 2D-3D MatchingCode0
Augmenting Memory Networks for Rich and Efficient Retrieval in Grounded DialogueCode0
Exploiting Local Indexing and Deep Feature Confidence Scores for Fast Image-to-Video SearchCode0
Accommodating Audio Modality in CLIP for Multimodal ProcessingCode0
LaSO: Label-Set Operations networks for multi-label few-shot learningCode0
LaSER: Language-Specific Event RecommendationCode0
Language-based Audio Retrieval Task in DCASE 2022 ChallengeCode0
Latent Structured Hopfield Network for Semantic Association and RetrievalCode0
Cross-lingual Contextualized Phrase RetrievalCode0
Accelerated Nearest Neighbor Search with Quick ADCCode0
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable ConvergenceCode0
Large Vision-Language Models for Knowledge-Grounded Data Annotation of MemesCode0
Large-Scale Location Recognition and the Geometric Burstiness ProblemCode0
Development and Validation of a Dynamic-Template-Constrained Large Language Model for Generating Fully-Structured Radiology ReportsCode0
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video HashingCode0
Large-Scale Image Retrieval with Attentive Deep Local FeaturesCode0
Large Scale Multi-Lingual Multi-Modal Summarization DatasetCode0
Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss WeightingCode0
Large-Scale Approximate k-NN Graph Construction on GPUCode0
Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio FeaturesCode0
Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language ModelsCode0
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approachCode0
Large Language Models Are Cross-Lingual Knowledge-Free ReasonersCode0
Cross-Domain Image Matching with Deep Feature MapsCode0
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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