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 8951–8975 of 14297 papers

TitleStatusHype
Compact Binary Fingerprint for Image Copy Re-Ranking—0
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization—0
Compact and Effective Representations for Sketch-based Image Retrieval—0
Assessing Wikipedia-Based Cross-Language Retrieval Models—0
Find The Gap: Knowledge Base Reasoning For Visual Question Answering—0
Minimizing low-rank models of high-order tensors: Hardness, span, tight relaxation, and applications—0
CoMOGrad and PHOG: From Computer Vision to Fast and Accurate Protein Tertiary Structure Retrieval—0
Assessing the Robustness of Retrieval-Augmented Generation Systems in K-12 Educational Question Answering with Knowledge Discrepancies—0
A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain—0
Findings of the 2014 Workshop on Statistical Machine Translation—0
Finding Similar Medical Questions from Question Answering Websites—0
Finding Similar Exercises in Retrieval Manner—0
Finding Salient Context based on Semantic Matching for Relevance Ranking—0
Community Detection on Evolving Graphs—0
Assessing the quality of information extraction—0
Finding More Relevance: Propagating Similarity on Markov Random Field for Image Retrieval—0
Finding Inverse Document Frequency Information in BERT—0
Assessing the performance of Olelo, a real-time biomedical question answering application—0
A Knowledge-based Representation for Cross-Language Document Retrieval and Categorization—0
Active Learning for Fine-Grained Sketch-Based Image Retrieval—0
A Bayesian Approach to Multimodal Visual Dictionary Learning—0
Knowing When to Ask -- Bridging Large Language Models and Data—0
Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure—0
Finding Good Enough: A Task-Based Evaluation of Query Biased Summarization for Cross-Language Information Retrieval—0
Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checking—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