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 2901–2925 of 14297 papers

TitleStatusHype
An Integrated Search Framework for Leveraging the Knowledge-Based Web Ecosystem—0
2nd Place Solution to Google Landmark Retrieval 2020—0
Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives—0
Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events—0
An innovative solution for breast cancer textual big data analysis—0
Deep Learning Based Image Retrieval in the JPEG Compressed Domain—0
Deep Learning Based Semantic Video Indexing and Retrieval—0
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space—0
An Initial Test Collection for Ranked Retrieval of SMS Conversations—0
BIOSSES: A Semantic Sentence Similarity Estimation System for the Biomedical Domain—0
A Compact FP-Tree for Fast Frequent Pattern Retrieval—0
Toward Automatic Relevance Judgment using Vision--Language Models for Image--Text Retrieval Evaluation—0
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We?—0
Deep Learning Classification With Noisy Labels—0
Deep Learning for IoT—0
Deep Learning for Video-Text Retrieval: a Review—0
Bioptic B1: A Target-Agnostic Potency-Based Small Molecules Search Engine—0
An Information Retrieval Approach to Finding Dependent Subspaces of Multiple Views—0
Deep Learning Applied to Image and Text Matching—0
BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions—0
Deep Learning applications for COVID-19—0
Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents—0
Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier—0
Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles—0
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—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