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 4101–4125 of 14297 papers

TitleStatusHype
Improving Retrieval-Based Question Answering with Deep Inference ModelsCode0
Improving Segmentation for Technical Support ProblemsCode0
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
Improving Similar Case Retrieval Ranking Performance By Revisiting RankSVMCode0
Active Learning via Classifier Impact and Greedy Selection for Interactive Image RetrievalCode0
A Large-scale Dataset and Benchmark for Similar Trademark RetrievalCode0
Component-based Attention for Large-scale Trademark RetrievalCode0
Improving Personalized Search with Regularized Low-Rank Parameter UpdatesCode0
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility StudyCode0
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive LearningCode0
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation FusionCode0
Improving Multitask Retrieval by Promoting Task SpecializationCode0
Improving Neural Ranking Models with Traditional IR MethodsCode0
Improving Medical Multi-modal Contrastive Learning with Expert AnnotationsCode0
Complete CVDL Methodology for Investigating Hydrodynamic InstabilitiesCode0
Improving language models by retrieving from trillions of tokensCode0
Complete 3D Scene Parsing from an RGBD ImageCode0
Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity TransferCode0
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt LearningCode0
A standardized Project Gutenberg corpus for statistical analysis of natural language and quantitative linguisticsCode0
A Large Dataset for Improving Patch MatchingCode0
Improving Health Question Answering with Reliable and Time-Aware Evidence RetrievalCode0
Improving Deep Representation Learning via Auxiliary Learnable Target CodingCode0
NLSC: Unrestricted Natural Language-based Service Composition through Sentence EmbeddingsCode0
Improving Information Retrieval Results for Persian Documents using FarsNetCode0
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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