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

Showing 27512775 of 14297 papers

TitleStatusHype
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language ModelsCode1
Linear Segmentation and Segment SignificanceCode1
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented GenerationCode1
Fine-tuning CNN Image Retrieval with No Human AnnotationCode1
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-trainingCode1
MINERS: Multilingual Language Models as Semantic RetrieversCode1
Should Graph Convolution Trust Neighbors? A Simple Causal Inference MethodCode1
Connecting Language and Vision for Natural Language-Based Vehicle RetrievalCode1
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge TransferCode1
Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency RehearsalCode0
Lexically-Accelerated Dense RetrievalCode0
Bridging Languages through Images with Deep Partial Canonical Correlation AnalysisCode0
Lexicon and Rule-based Word Lemmatization Approach for the Somali LanguageCode0
Adversarial Modality Alignment Network for Cross-Modal Molecule RetrievalCode0
Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial DatasetsCode0
Leveraging Unlabeled Data for Crowd Counting by Learning to RankCode0
Leveraging Geometry for Shape Estimation from a Single RGB ImageCode0
Adversarial-Metric Learning for Audio-Visual Cross-Modal MatchingCode0
Leveraging Capsule Routing to Associate Knowledge with Medical Literature HierarchicallyCode0
Bridging Data Center AI Systems with Edge Computing for Actionable Information RetrievalCode0
BRENT: Bidirectional Retrieval Enhanced Norwegian TransformerCode0
Let's Transfer Transformations of Shared Semantic RepresentationsCode0
Less is More: Rejecting Unreliable Reviews for Product Question AnsweringCode0
Less is More: Removing Text-regions Improves CLIP Training Efficiency and RobustnessCode0
Leveraging Acoustic Images for Effective Self-Supervised Audio Representation LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified