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

Showing 16011625 of 14297 papers

TitleStatusHype
Knowing More About Questions Can Help: Improving Calibration in Question AnsweringCode1
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image RetrievalCode1
Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-TrainingCode1
Cross-modal Contrastive Learning for Speech TranslationCode1
An Adversarial Imitation Click Model for Information RetrievalCode1
Knowledge-Enhanced Dual-stream Zero-shot Composed Image RetrievalCode1
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image RetrievalCode1
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysisCode1
Automated Phrase Mining from Massive Text CorporaCode1
Cross-Modal Adapter for Text-Video RetrievalCode1
Synergistic Interplay between Search and Large Language Models for Information RetrievalCode1
Cross-domain Retrieval in the Legal and Patent Domains: a Reproducibility StudyCode1
Know When to Fuse: Investigating Non-English Hybrid Retrieval in the Legal DomainCode1
Benchmarking Robustness of Multimodal Image-Text Models under Distribution ShiftCode1
KSS-ICP: Point Cloud Registration based on Kendall Shape SpaceCode1
Retrieval-Augmented Generation for Code Summarization via Hybrid GNNCode1
KTRL+F: Knowledge-Augmented In-Document SearchCode1
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific ModelsCode1
Semantic-Fused Multi-Granularity Cross-City Traffic PredictionCode1
Are Local Features All You Need for Cross-Domain Visual Place Recognition?Code1
Cross-document Event Coreference Search: Task, Dataset and ModelingCode1
Cross-Lingual Cross-Modal Retrieval with Noise-Robust LearningCode1
A Data-Centric Framework for Composable NLP WorkflowsCode1
Language Models are Universal EmbeddersCode1
Cross-Modal Retrieval: A Systematic Review of Methods and Future DirectionsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified