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 9126–9150 of 14297 papers

TitleStatusHype
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions—0
Cross-Modal Retrieval Augmentation for Multi-Modal Classification—0
Matching-oriented Product Quantization For Ad-hoc RetrievalCode1
Segmenting Subtitles for Correcting ASR Segmentation Errors—0
TEACHTEXT: CrossModal Generalized Distillation for Text-Video RetrievalCode1
Self-supervised Video Retrieval Transformer Network—0
VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks—0
Optimizing Dense Retrieval Model Training with Hard NegativesCode1
Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword ExtractionCode1
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text miningCode0
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted ListCode1
Contrastive Learning with Stronger AugmentationsCode1
Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval—0
XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationCode1
Towards Robust Neural Retrieval Models with Synthetic Pre-Training—0
Retrieval Augmentation Reduces Hallucination in Conversation—0
SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian—0
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval—0
Continual learning in cross-modal retrieval—0
Adversarial Sticker: A Stealthy Attack Method in the Physical WorldCode1
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware SamplingCode1
An Adversarial Imitation Click Model for Information RetrievalCode1
Multi-Step Reasoning Over Unstructured Text with Beam Dense RetrievalCode1
GPU Semiring Primitives for Sparse Neighborhood MethodsCode1
Understanding Hard Negatives in Noise Contrastive EstimationCode1
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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