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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 7101–7125 of 14297 papers

TitleStatusHype
Topic-Grained Text Representation-based Model for Document Retrieval—0
LaT: Latent Translation with Cycle-Consistency for Video-Text Retrieval—0
A clinically motivated self-supervised approach for content-based image retrieval of CT liver imagesCode1
Classification and Generation of real-world data with an Associative Memory Model—0
Intra-Modal Constraint Loss For Image-Text RetrievalCode0
Randomized Kaczmarz Method for Single Particle X-ray Image Phase Retrieval—0
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation—0
A Late Fusion Framework with Multiple Optimization Methods for Media Interestingness—0
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild—0
Sparse Pairwise Re-ranking with Pre-trained TransformersCode0
Towards Proper Contrastive Self-supervised Learning Strategies For Music Audio RepresentationCode1
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale ExtractionCode1
BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval—0
Video Dialog as Conversation about Objects Living in Space-TimeCode1
An Efficiency Study for SPLADE Models—0
An Approach to Ensure Fairness in News ArticlesCode1
Automated Audio Captioning and Language-Based Audio RetrievalCode0
GEMS: Scene Expansion using Generative Models of Graphs—0
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question AnsweringCode1
On the Metric Properties of IR Evaluation Measures Based on Ranking Axioms—0
Batch Evaluation Metrics in Information Retrieval: Measures, Scales, and Meaning—0
Multi-Label Learning to Rank through Multi-Objective Optimization—0
Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling—0
Learning Music-Dance Representations through Explicit-Implicit Rhythm Synchronization—0
Star Product PIR Schemes with Colluding Servers over Small Fields—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