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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 6601–6625 of 14297 papers

TitleStatusHype
Information Retrieval with Entity Linking—0
Information structure in the Potsdam Commentary Corpus: Topics—0
Khmer Semantic Search Engine (KSE): Digital Information Access and Document Retrieval—0
Automatic Separation of Compound Figures in Scientific Articles—0
Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrieval—0
Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns—0
Informative Sample-Aware Proxy for Deep Metric Learning—0
Informative Scene Graph Generation via Debiasing—0
Informed Group-Sparse Representation for Singing Voice Separation—0
Infrastructure for Semantic Annotation in the Genomics Domain—0
DetailCLIP: Injecting Image Details into CLIP's Feature Space—0
Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training—0
Automatic Spatial Context-Sensitive Cloud/Cloud-Shadow Detection in Multi-Source Multi-Spectral Earth Observation Images: AutoCloud+—0
Exploiting Visual Semantic Reasoning for Video-Text Retrieval—0
Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation—0
CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMs—0
Exploiting Temporal Dependencies for Cross-Modal Music Piece Identification—0
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents—0
Automatic Synthesis of High-Quality Triplet Data for Composed Image Retrieval—0
Exploiting Synchronized Lyrics And Vocal Features For Music Emotion Detection—0
Data description and retrieval using periods represented by uncertain time intervals—0
INRet: A General Framework for Accurate Retrieval of INRs for Shapes—0
Clique: Spatiotemporal Object Re-identification at the City Scale—0
Killing two birds with one stone: Can an audio captioning system also be used for audio-text retrieval?—0
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning—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