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 8876–8900 of 14297 papers

TitleStatusHype
Music Auto-Tagging with Robust Music Representation Learned via Domain Adversarial Training—0
Can MusicGen Create Training Data for MIR Tasks?—0
A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation—0
Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task—0
Multilingual Representation Distillation with Contrastive Learning—0
Multilingual Open QA on the MIA Shared Task—0
MusiCoder: A Universal Music-Acoustic Encoder Based on Transformers—0
Music Performance Analysis: A Survey—0
Music-to-Dance Generation with Optimal Transport—0
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation—0
3D Interpreter Networks for Viewer-Centered Wireframe Modeling—0
Efficient In-Domain Question Answering for Resource-Constrained Environments—0
MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation—0
Embedding Meta-Textual Information for Improved Learning to Rank—0
Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access—0
Multi-Lingual Malaysian Embedding: Leveraging Large Language Models for Semantic Representations—0
Efficient Indexing of Billion-Scale Datasets of Deep Descriptors—0
Embedding models for recommendation under contextual constraints—0
NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders—0
Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context—0
Non-rigid 3D shape retrieval based on multi-view metric learning—0
Named Entity Evolution Analysis on Wikipedia—0
Named Entity Recognition in Context—0
Named Entity Recognition System for Sindhi Language—0
No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling—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