SOTAVerified

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 4351–4375 of 14297 papers

TitleStatusHype
Event-driven Real-time Retrieval in Web Search—0
Vision-Language Models Learn Super Images for Efficient Partially Relevant Video Retrieval—0
Context Retrieval via Normalized Contextual Latent Interaction for Conversational AgentCode0
NYCU ML Lab LLAMA: Prefix tuning using LLAMA for Informationa Retrieval—0
Removing Biases from Molecular Representations via Information MaximizationCode1
Agent-OM: Leveraging LLM Agents for Ontology MatchingCode1
A Video is Worth 10,000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval—0
Barwise Music Structure Analysis with the Correlation Block-Matching Segmentation Algorithm—0
End-to-End Retrieval with Learned Dense and Sparse Representations Using Lucene—0
Hubness Reduction Improves Sentence-BERT Semantic SpacesCode0
IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions—0
Search Still Matters: Information Retrieval in the Era of Generative AI—0
DiffCAD: Weakly-Supervised Probabilistic CAD Model Retrieval and Alignment from an RGB Image—0
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for RecommendationCode0
MLLMs-Augmented Visual-Language Representation LearningCode1
HKUST at SemEval-2023 Task 1: Visual Word Sense Disambiguation with Context Augmentation and Visual AssistanceCode0
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input RecognitionCode0
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific ModelsCode1
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines—0
Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce—0
Contextual Knowledge Pursuit for Faithful Visual SynthesisCode0
How to Build an AI Tutor That Can Adapt to Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)—0
SenTest: Evaluating Robustness of Sentence Encoders—0
Pattern retrieval of traffic congestion using graph-based associations of traffic domain-specific features—0
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers—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