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 1501–1525 of 14297 papers

TitleStatusHype
Know2Vec: A Black-Box Proxy for Neural Network RetrievalCode0
Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge TasksCode5
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases—0
PolySmart @ TRECVid 2024 Medical Video Question Answering—0
ASPIRE: Assistive System for Performance Evaluation in IRCode1
PolySmart and VIREO @ TRECVid 2024 Ad-hoc Video Search—0
MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering—0
XRAG: eXamining the Core -- Benchmarking Foundational Components in Advanced Retrieval-Augmented GenerationCode2
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval—0
A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science—0
CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation—0
Face the Facts! Evaluating RAG-based Fact-checking Pipelines in Realistic SettingsCode0
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question AnsweringCode0
STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy LearningCode1
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning—0
Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability—0
VISA: Retrieval Augmented Generation with Visual Source Attribution—0
Query pipeline optimization for cancer patient question answering systems—0
ECLIPSE: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval—0
MegaPairs: Massive Data Synthesis For Universal Multimodal RetrievalCode3
Progressive Multimodal Reasoning via Active Retrieval—0
PA-RAG: RAG Alignment via Multi-Perspective Preference OptimizationCode1
Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation—0
Adversarial Hubness in Multi-Modal RetrievalCode0
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferenceCode5
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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