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 1626–1650 of 14297 papers

TitleStatusHype
Large Foundation Models for Power SystemsCode1
Cross Modal Retrieval with Querybank NormalisationCode1
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image RetrievalCode1
Benchmarking Robustness of Multimodal Image-Text Models under Distribution ShiftCode1
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image RetrievalCode1
Are Local Features All You Need for Cross-Domain Visual Place Recognition?Code1
Cross-modal Contrastive Learning for Speech TranslationCode1
Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-AttentionCode1
Large-Scale Product Retrieval with Weakly Supervised Representation LearningCode1
A Data-Driven Methodology for Considering Feasibility and Pairwise Likelihood in Deep Learning Based Guitar Tablature Transcription SystemsCode1
LAVENDER: Unifying Video-Language Understanding as Masked Language ModelingCode1
Cross-modal Scene Graph Matching for Relationship-aware Image-Text RetrievalCode1
Automatic Generation of Topic LabelsCode1
Cross-domain Retrieval in the Legal and Patent Domains: a Reproducibility StudyCode1
LD-DETR: Loop Decoder DEtection TRansformer for Video Moment Retrieval and Highlight DetectionCode1
Cross-document Event Coreference Search: Task, Dataset and ModelingCode1
Leaner and Faster: Two-Stage Model Compression for Lightweight Text-Image RetrievalCode1
Learning a Predictable and Generative Vector Representation for ObjectsCode1
Learning a Representation for Cover Song Identification Using Convolutional Neural NetworkCode1
Learning Attribute-Driven Disentangled Representations for Interactive Fashion RetrievalCode1
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature DescriptorsCode1
mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge GraphsCode1
Bidirectional Attentive Memory Networks for Question Answering over Knowledge BasesCode1
Learning Cross-Modal Retrieval With Noisy LabelsCode1
Cross-Batch Memory for Embedding LearningCode1
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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