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 8276–8300 of 14297 papers

TitleStatusHype
Mol-PECO: a deep learning model to predict human olfactory perception from molecular structures—0
Enriching Texture Analysis with Semantic Data—0
Enriching Existing Test Collections with OXPath—0
ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative Refinement—0
MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval—0
Enriching Conversation Context in Retrieval-based Chatbots—0
EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline—0
ChartKG: A Knowledge-Graph-Based Representation for Chart Images—0
Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations—0
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution—0
ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation—0
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers—0
Enhancing Translation Language Models with Word Embedding for Information Retrieval—0
Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation—0
CHARM: Inferring Personal Attributes from Conversations—0
3D Shape Knowledge Graph for Cross-domain 3D Shape Retrieval—0
Development of REGAI: Rubric Enabled Generative Artificial Intelligence—0
Monitoring Energy Trends through Automatic Information Extraction—0
Character Segmentation in Asian Collector's Seal Imprints: An Attempt to Retrieval Based on Ancient Character Typeface—0
Enhancing Thyroid Cytology Diagnosis with RAG-Optimized LLMs and Pa-thology Foundation Models—0
Molecule Generation with Fragment Retrieval Augmentation—0
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection—0
ArbEngVec : Arabic-English Cross-Lingual Word Embedding Model—0
Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework—0
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network—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