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 7576–7600 of 14297 papers

TitleStatusHype
A Generic Image Retrieval Method for Date Estimation of Historical Document Collections—0
Musical Information Extraction from the Singing Voice—0
Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions with Multi-Level Representations—0
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-DeploymentCode1
Late multimodal fusion for image and audio music transcription—0
From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature SearchCode1
UIGR: Unified Interactive Garment RetrievalCode1
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval SystemCode0
Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings—0
Temporal Alignment Networks for Long-term VideoCode1
Knowledge Base Index Compression via Dimensionality and Precision ReductionCode0
KNN-Diffusion: Image Generation via Large-Scale Retrieval—0
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt LearningCode0
Retrieval-based Spatially Adaptive Normalization for Semantic Image SynthesisCode1
Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding—0
ECLIPSE: Efficient Long-range Video Retrieval using Sight and SoundCode1
Cross-Frequency Coupling Increases Memory Capacity in Oscillatory Neural Networks—0
How Different are Pre-trained Transformers for Text Ranking?Code0
On the Effectiveness of Pretrained Models for API Learning—0
Neural Computing with Coherent Laser Networks—0
Towards Best Practices for Training Multilingual Dense Retrieval Models—0
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual RetrievalCode0
Leveraging Equivariant Features for Absolute Pose Regression—0
PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models—0
An Analysis of Semantically-Aligned Speech-Text Embeddings—0
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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