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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3851–3875 of 14297 papers

TitleStatusHype
A Dataset for Sentence Retrieval for Open-Ended Dialogues—0
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval—0
Binary Paragraph Vectors—0
Discovering beautiful attributes for aesthetic image analysis—0
Data Augmentation for Biomedical Factoid Question Answering—0
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering—0
Discovering Latent Concepts and Exploiting Ontological Features for Semantic Text Search—0
Discovering Latent Information By Spreading Activation Algorithm For Document Retrieval—0
Automatic Separation of Compound Figures in Scientific Articles—0
Analysis of Plan-based Retrieval for Grounded Text Generation—0
Discovering seminal works with marker papers—0
Accept the Modality Gap: An Exploration in the Hyperbolic Space—0
EGO-CH: Dataset and Fundamental Tasks for Visitors BehavioralUnderstanding using Egocentric Vision—0
Darwinian Model Upgrades: Model Evolving with Selective Compatibility—0
Automatic Recall of Software Lessons Learned for Software Project Managers—0
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation—0
Discrete Latent Factor Model for Cross-Modal Hashing—0
Discretely Coding Semantic Rank Orders for Supervised Image Hashing—0
DART^3: Leveraging Distance for Test Time Adaptation in Person Re-Identification—0
Discrete Wavelet Transform and Gradient Difference based approach for text localization in videos—0
Automatic Question Answering for Medical MCQs: Can It go Further than Information Retrieval?—0
Discrimination-Aware Mechanism for Fine-Grained Representation Learning—0
EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval—0
Discriminative Functional Connectivity Measures for Brain Decoding—0
Automatic Query Optimization for Retrieving Traffic Tweets—0
Show:102550
← PrevPage 155 of 572Next →
All datasetsQuora Question PairsHotpotQANatural QuestionsOK-VQAInfoSeekMVKPolyvorePubMedQAPubMedQA corpus with metadataToolLensคลิปไวรัล!! ไอซ์ ปรีชญา ลืมปิดไลฟ์สดตอนอาบน้ำ ถูกแชร์กระหึ่มเน็ต

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