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 9326–9350 of 14297 papers

TitleStatusHype
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification—0
Neural Feature Selection for Learning to Rank—0
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval—0
How are journals cited? characterizing journal citations by type of citation—0
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc RetrievalCode0
Entities of Interest—0
Linear Transformers Are Secretly Fast Weight ProgrammersCode1
A Concept Knowledge-Driven Keywords Retrieval Framework for Sponsored Search—0
Probabilistic Vehicle Reconstruction Using a Multi-Task CNN—0
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks—0
Clarification of Video Retrieval Query Results by the Automated Insertion of Supporting Shots—0
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition—0
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense RepresentationsCode2
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion—0
KBCNMUJAL@HASOC-Dravidian-CodeMix-FIRE2020: Using Machine Learning for Detection of Hate Speech and Offensive Code-Mixed Social Media text—0
Hierarchical Attention Fusion for Geo-LocalizationCode1
Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak DecoderCode1
Hierarchical Similarity Learning for Language-based Product Image RetrievalCode0
Understanding and Creating Art with AI: Review and Outlook—0
Robust PDF Document Conversion Using Recurrent Neural Networks—0
A Novel Bayesian Approach for the Two-Dimensional Harmonic Retrieval Problem—0
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval—0
I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion—0
Open-Retrieval Conversational Machine ReadingCode1
Multi-Attribute Enhancement Network for Person SearchCode0
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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