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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 826–850 of 14297 papers

TitleStatusHype
RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation ServingCode1
Retrieval-Augmented Simulacra: Generative Agents for Up-to-date and Knowledge-Adaptive Simulations—0
Good/Evil Reputation Judgment of Celebrities by LLMs via Retrieval Augmented Generation—0
RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving—0
Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval—0
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning—0
OSCAR: Online Soft Compression And Reranking—0
All You Need to Know About Training Image Retrieval ModelsCode2
Knowledge-Aware Iterative Retrieval for Multi-Agent Systems—0
Privacy-Aware RAG: Secure and Isolated Knowledge Retrieval—0
MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAGCode0
Long-VMNet: Accelerating Long-Form Video Understanding via Fixed Memory—0
Business Entity Entropy—0
Datrics Text2SQL. A Framework for Natural Language to SQL Query GenerationCode2
Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes—0
Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria RerankingCode14
AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generationCode0
L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery—0
Agent-Enhanced Large Language Models for Researching Political InstitutionsCode0
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAGCode0
AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented Generation—0
NeighborRetr: Balancing Hub Centrality in Cross-Modal RetrievalCode0
LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents—0
StableFusion: Continual Video Retrieval via Frame AdaptationCode1
Retrieval-Augmented Generation with Hierarchical KnowledgeCode4
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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