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 2251–2275 of 14297 papers

TitleStatusHype
CoVR-2: Automatic Data Construction for Composed Video RetrievalCode1
Emotion Embedding Spaces for Matching Music to StoriesCode1
Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content RetrievalCode1
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question AnsweringCode1
A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor SearchCode1
Retrieval augmentation of large language models for lay language generationCode1
End-to-End Learning of Visual Representations from Uncurated Instructional VideosCode1
CenterCLIP: Token Clustering for Efficient Text-Video RetrievalCode1
End-to-End Query Term WeightingCode1
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based RetrievalCode1
End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringCode1
English Contrastive Learning Can Learn Universal Cross-lingual Sentence EmbeddingsCode1
CREPE: A Convolutional Representation for Pitch EstimationCode1
Enhancing Deformable Local Features by Jointly Learning to Detect and Describe KeypointsCode1
Certifiably Robust RAG against Retrieval CorruptionCode1
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate PairsCode1
Cross-document Event Coreference Search: Task, Dataset and ModelingCode1
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG SystemsCode1
Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented GenerationCode1
ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAGCode1
Cross-Modal Retrieval with Partially Mismatched PairsCode1
AESOP: Paraphrase Generation with Adaptive Syntactic ControlCode1
EntQA: Entity Linking as Question AnsweringCode1
Equivariant Similarity for Vision-Language Foundation ModelsCode1
Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and DataCode1
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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