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

Showing 526550 of 14297 papers

TitleStatusHype
Extended Mind TransformersCode2
Efficient Remote Sensing with Harmonized Transfer Learning and Modality AlignmentCode2
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
Retrieval with Learned SimilaritiesCode2
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMsCode2
Efficient Multi-Vector Dense Retrieval Using Bit VectorsCode2
Egocentric Video-Language PretrainingCode2
EarthLoc: Astronaut Photography Localization by Indexing Earth from SpaceCode2
ECG-Chat: A Large ECG-Language Model for Cardiac Disease DiagnosisCode2
An Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval InterfaceCode2
Animate-A-Story: Storytelling with Retrieval-Augmented Video GenerationCode2
Duoduo CLIP: Efficient 3D Understanding with Multi-View ImagesCode2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse RepresentationsCode2
Evaluation of Retrieval-Augmented Generation: A SurveyCode2
Explore the Limits of Omni-modal Pretraining at ScaleCode2
Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022Code2
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationCode2
A Foundation Model for Music InformaticsCode2
Contrastive language and vision learning of general fashion conceptsCode2
Distillation Enhanced Generative RetrievalCode2
Document Expansion by Query PredictionCode2
Discrete Event, Continuous Time RNNsCode2
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal ServicesCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified