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 6576–6600 of 14297 papers

TitleStatusHype
Explore Entity Embedding Effectiveness in Entity Retrieval—0
Information Cocoons in Online Navigation—0
Information Compression, Intelligence, Computing, and Mathematics—0
Information Need in Metaverse Recordings - A Field Study—0
Information Ranking Using Optimum-Path Forest—0
Information Retrieval and Classification of Real-Time Multi-Source Hurricane Evacuation Notices—0
Information Retrieval and Extraction on COVID-19 Clinical Articles Using Graph Community Detection and Bio-BERT Embeddings—0
A Convolutional Baseline for Person Re-Identification Using Vision and Language Descriptions—0
Information Retrieval and Natural Language Processing (Recherche d'Information et Traitement Automatique des Langues Naturelles) [in French]—0
Information retrieval for animal disease surveillance: a pattern-based approach.—0
Information Retrieval for Climate Impact—0
Information retrieval for label noise document ranking by bag sampling and group-wise loss—0
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer—0
Information Retrieval from the Digitized Books—0
Information Retrieval in African Languages—0
Exploration of the possibility of infusing Social Media Trends into generating NFT Recommendations—0
Exploration of Proximity Heuristics in Length Normalization—0
AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval—0
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification—0
Darwinian Model Upgrades: Model Evolving with Selective Compatibility—0
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community—0
Exploiting Visual Semantic Reasoning for Video-Text Retrieval—0
Information retrieval: recent advances and beyond—0
Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation—0
CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMs—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