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 21512175 of 14297 papers

TitleStatusHype
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing ModalitiesCode1
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal ProcessingCode1
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsCode1
Decomposed Prompting: A Modular Approach for Solving Complex TasksCode1
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based LocalizationCode1
Decouple knowledge from parameters for plug-and-play language modelingCode1
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal EncoderCode1
A Platform for the Biomedical Application of Large Language ModelsCode1
Deeper Convolutional Neural Networks and Broad Augmentation Policies Improve Performance in Musical Key EstimationCode1
DeeperImpact: Optimizing Sparse Learned Index StructuresCode1
Deep Hashing Network for Unsupervised Domain AdaptationCode1
Deep metric learning using Triplet networkCode1
Dense Relational Image Captioning via Multi-task Triple-Stream NetworksCode1
Deep Relational Metric LearningCode1
Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate SystemCode1
COSA: Concatenated Sample Pretrained Vision-Language Foundation ModelCode1
CoSMo: Content-Style Modulation for Image Retrieval With Text FeedbackCode1
Correlation Verification for Image RetrievalCode1
Stochastic Attraction-Repulsion Embedding for Large Scale Image LocalizationCode1
Deep Triplet Hashing Network for Case-based Medical Image RetrievalCode1
CoRT: Complementary Rankings from TransformersCode1
Defending Against Social Engineering Attacks in the Age of LLMsCode1
COUGH: A Challenge Dataset and Models for COVID-19 FAQ RetrievalCode1
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuningCode1
Building Russian Benchmark for Evaluation of Information Retrieval ModelsCode1
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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