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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 3176–3200 of 14297 papers

TitleStatusHype
Learning Discriminative 3D Shape Representations by View Discerning NetworksCode0
Learning Disentangled Representations via Mutual Information EstimationCode0
Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning from Unlabeled Videos and 3D-Shape RetrievalCode0
An All-MLP Sequence Modeling Architecture That Excels at CopyingCode0
CNTLS: A Benchmark Dataset for Abstractive or Extractive Chinese Timeline SummarizationCode0
Learning Deep Local Features With Multiple Dynamic Attentions for Large-Scale Image RetrievalCode0
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential RecommendationsCode0
Learning Deep Nearest Neighbor Representations Using Differentiable Boundary TreesCode0
Learning Compressed Sentence Representations for On-Device Text ProcessingCode0
Learning Contextualized Document Representations for Healthcare Answer RetrievalCode0
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food ImagesCode0
Learning Deep Representations of Fine-grained Visual DescriptionsCode0
Automated Few-shot Classification with Instruction-Finetuned Language ModelsCode0
Learning Character-Agnostic Motion for Motion Retargeting in 2DCode0
Learning compact binary descriptors with unsupervised deep neural networksCode0
Learning Compatible Multi-Prize Subnetworks for Asymmetric RetrievalCode0
Automated crater shape retrieval using weakly-supervised deep learningCode0
Learning Audio Concepts from Counterfactual Natural LanguageCode0
Learning Attractor Dynamics for Generative MemoryCode0
The iMet Collection 2019 Challenge DatasetCode0
Learning Complex Basis Functions for Invariant Representations of AudioCode0
Learning Metrics from Teachers: Compact Networks for Image EmbeddingCode0
Learning to Rank Context for Named Entity Recognition Using a Synthetic DatasetCode0
Learned k-NN Distance EstimationCode0
Adaptive Testing of Computer Vision ModelsCode0
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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