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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 9051–9100 of 14297 papers

TitleStatusHype
Color Image Retrieval Using Fuzzy Measure Hamming and S-Tree—0
FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation—0
Feature Super-Resolution: Make Machine See More Clearly—0
ColorFlow: Retrieval-Augmented Image Sequence Colorization—0
Aspect-based Academic Search using Domain-specific KB—0
AI-Supported Platform for System Monitoring and Decision-Making in Nuclear Waste Management with Large Language Models—0
Action-Centered Information Retrieval—0
A Bag of Visual Words Model for Medical Image Retrieval—0
Features-over-the-Air: Contrastive Learning Enabled Cooperative Edge Inference—0
Feature Selection for Better Spectral Characterization or: How I Learned to Start Worrying and Love Ensembles—0
Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings—0
Feature Selection and Model Comparison on Microsoft Learning-to-Rank Data Sets—0
Color Counting for Fashion, Art, and Design—0
whu-nercms at trecvid2021:instance search task—0
Feature Pyramid Hashing—0
Feature overwriting as a finite mixture process: Evidence from comprehension data—0
Color and Shape Content Based Image Classification using RBF Network and PSO Technique: A Survey—0
A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval—0
Feature-Independent Context Estimation for Automatic Image Annotation—0
Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection—0
Feature Extraction Using Deep Generative Models for Bangla Text Classification on a New Comprehensive Dataset—0
Collective Matrix Factorization Hashing for Multimodal Data—0
Feature Extraction in Augmented Reality—0
Feature Extraction and Soft Computing Methods for Aerospace Structure Defect Classification—0
Feature-Based Selection of Dependency Paths in Ad Hoc Information Retrieval—0
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification—0
Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence—0
A Social Search Model for Large Scale Social Networks—0
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition—0
FCC: Fusing Conversation History and Candidate Provenance for Contextual Response Ranking in Dialogue Systems—0
FCA_Retrieval: A Multi-operator Algorithm for Information Retrieval from Binary Concept Lattice—0
Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models—0
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation—0
FAUST: Dataset and Evaluation for 3D Mesh Registration—0
Fatigued Random Walks in Hypergraphs: A Neuronal Analogy to Improve Retrieval Performance—0
Collaborative Visual Place Recognition through Federated Learning—0
Fatigued PageRank—0
Fast Weight Long Short-Term Memory—0
Collaborative Summarization of Topic-Related Videos—0
AirRAG: Activating Intrinsic Reasoning for Retrieval Augmented Generation via Tree-based Search—0
Fast Video Moment Retrieval—0
Fast Tweet Retrieval with Compact Binary Codes—0
Collaborative Semantic Communication for Edge Inference—0
Fast Training of Triplet-based Deep Binary Embedding Networks—0
Fast Training Dataset Attribution via In-Context Learning—0
Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search—0
Collaborative Multi-modal deep learning for the personalized product retrieval in Facebook Marketplace—0
Ask Me What You Need: Product Retrieval using Knowledge from GPT-3—0
AIR-HLoc: Adaptive Retrieved Images Selection for Efficient Visual Localisation—0
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces—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