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 1951–1975 of 14297 papers

TitleStatusHype
Cross-Lingual Cross-Modal Retrieval with Noise-Robust LearningCode1
Cross-Modal Retrieval: A Systematic Review of Methods and Future DirectionsCode1
PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation with DevitoCode1
Hybrid Inverted Index Is a Robust Accelerator for Dense RetrievalCode1
CREPE: Can Vision-Language Foundation Models Reason Compositionally?Code1
CREPE: A Convolutional Representation for Pitch EstimationCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and MappingCode1
CrIBo: Self-Supervised Learning via Cross-Image Object-Level BootstrappingCode1
C-RAG: Certified Generation Risks for Retrieval-Augmented Language ModelsCode1
GLOW : Global Weighted Self-Attention Network for Web SearchCode1
Query-as-context Pre-training for Dense Passage RetrievalCode1
A Prior Instruction Representation Framework for Remote Sensing Image-text RetrievalCode1
Query Embedding Pruning for Dense RetrievalCode1
Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-rankingCode1
Query Performance Prediction: From Ad-hoc to Conversational SearchCode1
Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal HashingCode1
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCOCode1
CoVR-2: Automatic Data Construction for Composed Video RetrievalCode1
CoSMo: Content-Style Modulation for Image Retrieval With Text FeedbackCode1
COUGH: A Challenge Dataset and Models for COVID-19 FAQ RetrievalCode1
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationCode1
Cross-Architecture Self-supervised Video Representation LearningCode1
RaDeR: Reasoning-aware Dense Retrieval ModelsCode1
Cross-modal Retrieval for Knowledge-based Visual Question AnsweringCode1
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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