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 6901–6925 of 14297 papers

TitleStatusHype
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings—0
Image Classification by Feature Dimension Reduction and Graph based Ranking—0
Cross-Lingual Keyword Search for Sign Language—0
JRC EuroVoc Indexer JEX - A freely available multi-label categorisation tool—0
Image Classification and Retrieval from User-Supplied Tags—0
Image Change Captioning by Learning From an Auxiliary Task—0
Image Captioning based on Deep Learning Methods: A Survey—0
Judgment2vec: Apply Graph Analytics to Searching and Recommendation of Similar Judgments—0
JU_KS_Group@FIRE 2016: Consumer Health Information Search—0
JurisTCU: A Brazilian Portuguese Information Retrieval Dataset with Query Relevance Judgments—0
Cross-Lingual Information Retrieval and Semantic Interoperability for Cultural Heritage Repositories—0
JUST.ASK, a QA system that learns to answer new questions from previous interactions—0
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering—0
A Multimodal Approach for Cross-Domain Image Retrieval—0
ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data—0
Mapping, Localization and Path Planning for Image-based Navigation using Visual Features and Map—0
KaiRacters: Character-level-based Writer Retrieval for Greek Papyri—0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
Image Annotation using Multi-Layer Sparse Coding—0
KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces—0
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation—0
Adaptive Re-ranking of Deep Feature for Person Re-identification—0
KaPQA: Knowledge-Augmented Product Question-Answering—0
KAQG: A Knowledge-Graph-Enhanced RAG for Difficulty-Controlled Question Generation—0
Image Annotation Incorporating Low-Rankness, Tag and Visual Correlation and Inhomogeneous Errors—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