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 451–475 of 14297 papers

TitleStatusHype
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsCode2
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive RepresentationCode2
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMsCode2
Exploring Radar Data Representations in Autonomous Driving: A Comprehensive ReviewCode2
Efficient Remote Sensing with Harmonized Transfer Learning and Modality AlignmentCode2
Composed Image Retrieval for Remote SensingCode2
Composed Multi-modal Retrieval: A Survey of Approaches and ApplicationsCode2
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language ModelCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge EnhancementCode2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCode2
AIR-Bench: Automated Heterogeneous Information Retrieval BenchmarkCode2
Rank1: Test-Time Compute for Reranking in Information RetrievalCode2
Comprehending and Ordering Semantics for Image CaptioningCode2
EarthLoc: Astronaut Photography Localization by Indexing Earth from SpaceCode2
ECG-Chat: A Large ECG-Language Model for Cardiac Disease DiagnosisCode2
BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View ImagesCode2
Duoduo CLIP: Efficient 3D Understanding with Multi-View ImagesCode2
Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse RepresentationsCode2
Enhancing Retrieval-Augmented Generation: A Study of Best PracticesCode2
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community RetrievalCode2
Benchmarking Large Language Models in Retrieval-Augmented GenerationCode2
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion PriorsCode2
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsCode2
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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