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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 8351–8375 of 14297 papers

TitleStatusHype
"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models—0
Contextualization of topics - browsing through terms, authors, journals and cluster allocations—0
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning—0
GLRT-Based Metric Learning for Remote Sensing Object Retrieval—0
Contextualization of ASR with LLM using phonetic retrieval-based augmentation—0
Contextualization for the Organization of Text Documents Streams—0
Asymmetric Sparse Kernel Approximations for Large-scale Visual Search—0
Global Ranking Using Continuous Conditional Random Fields—0
Global–Local Information Soft-Alignment for Cross-Modal Remote-Sensing Image–Text Retrieval—0
Contextualised Browsing in a Digital Library's Living Lab—0
Global Image Sentiment Transfer—0
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations—0
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms—0
Global Context Aware Convolutions for 3D Point Cloud Understanding—0
GLIMMER: generalized late-interaction memory reranker—0
Asymmetric Scalable Cross-modal Hashing—0
All the attention you need: Global-local, spatial-channel attention for image retrieval—0
GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian—0
GLEAKE: Global and Local Embedding Automatic Keyphrase Extraction—0
Contextual Document Embeddings—0
Context Tuning for Retrieval Augmented Generation—0
GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval—0
Giving Lexical Resources a Second Life: D\'emonette, a Multi-sourced Morpho-semantic Network for French—0
Asymmetric Leaky Private Information Retrieval—0
Allowing for equal opportunities for artists in music recommendation—0
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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