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 8326–8350 of 14297 papers

TitleStatusHype
Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network—0
Enhancing Relevance of Embedding-based Retrieval at Walmart—0
Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions—0
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models—0
Character Alignment in Morphologically Complex Translation Sets for Related Languages—0
Arabic Textual Entailment with Word Embeddings—0
Agentic Large Language Models, a survey—0
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG—0
Enhancing Product Search Interfaces with Sketch-Guided Diffusion and Language Agents—0
Channel Recurrent Attention Networks for Video Pedestrian Retrieval—0
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System—0
Enhancing Patent Retrieval using Text and Knowledge Graph Embeddings: A Technical Note—0
Changes in Power and Information Flow in Resting-state EEG by Working Memory Process—0
Arabic Text Mining—0
Enhancing Pancreatic Cancer Staging with Large Language Models: The Role of Retrieval-Augmented Generation—0
Change Detection under Global Viewpoint Uncertainty—0
Enhancing Online Learning Efficiency Through Heterogeneous Resource Integration with a Multi-Agent RAG System—0
Arabic Text Categorization Algorithm using Vector Evaluation Method—0
Agentic Information Retrieval—0
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions—0
Arabic Retrieval Revisited: Morphological Hole Filling—0
3D scene reconstruction from monocular spherical video with motion parallax—0
Enhancing Multilingual Information Retrieval in Mixed Human Resources Environments: A RAG Model Implementation for Multicultural Enterprise—0
Enhancing Multi-Image Question Answering via Submodular Subset Selection—0
Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training—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