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 4801–4825 of 14297 papers

TitleStatusHype
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval—0
Passage Summarization with Recurrent Models for Audio-Sheet Music Retrieval—0
On-the-Fly SfM: What you capture is What you getCode1
Self-Supervised Contrastive Learning for Robust Audio-Sheet Music Retrieval Systems—0
Performance Conditioning for Diffusion-Based Multi-Instrument Music Synthesis—0
Towards Robust and Truly Large-Scale Audio-Sheet Music Retrieval—0
Automating construction contract review using knowledge graph-enhanced large language models—0
Exploiting CLIP-based Multi-modal Approach for Artwork Classification and Retrieval—0
InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language ModelsCode1
SE-PEF: a Resource for Personalized Expert FindingCode0
Retrieving Supporting Evidence for Generative Question Answering—0
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal ServicesCode2
Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning—0
Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval—0
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive LearningCode1
Sound Source Localization is All about Cross-Modal Alignment—0
Motif-Centric Representation Learning for Symbolic MusicCode0
Computational Approaches for App-to-App Retrieval and Design Consistency Check—0
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation—0
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense RetrievalCode0
In-Context Learning for Text Classification with Many Labels—0
Unified Coarse-to-Fine Alignment for Video-Text RetrievalCode1
Decompose Semantic Shifts for Composed Image Retrieval—0
AMuRD: Annotated Arabic-English Receipt Dataset for Key Information Extraction and ClassificationCode0
Selecting which Dense Retriever to use for Zero-Shot Search—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