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 8376–8400 of 14297 papers

TitleStatusHype
GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation—0
Give Me More Details: Improving Fact-Checking with Latent Retrieval—0
GiVE: Guiding Visual Encoder to Perceive Overlooked Information—0
Context Sensitive Article Ranking with Citation Context Analysis—0
GIFT: A Real-time and Scalable 3D Shape Search Engine—0
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs—0
ggRandomForests: Exploring Random Forest Survival—0
Asymmetric Feature Maps with Application to Sketch Based Retrieval—0
Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval—0
A Bioinformatics Study for Recognition of Hub Genes and Pathways in Pancreatic Ductal Adenocarcinoma—0
Fast 3D point clouds retrieval for Large-scale 3D Place Recognition—0
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering—0
Get Your Model Puzzled: Introducing Crossword-Solving as a New NLP Benchmark—0
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context—0
Asymmetric Feature Fusion for Image Retrieval—0
Getting Started with Neural Models for Semantic Matching in Web Search—0
Getting Better Dialogue Context for Knowledge Identification by Leveraging Document-level Topic Shift—0
Get the Point! Graph Enhanced Candidate Retrieval for Zero-shot Entity Linking—0
Get the gist? Using large language models for few-shot decontextualization—0
Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems—0
Asymmetric Image Retrieval with Cross Model Compatible Ensembles—0
GeSERA: General-domain Summary Evaluation by Relevance Analysis—0
GerNED: A German Corpus for Named Entity Disambiguation—0
GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval—0
GerDaLIR: A German Dataset for Legal Information 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