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 626–650 of 14297 papers

TitleStatusHype
Deformation-Aware 3D Model Embedding and RetrievalCode1
Defending Against Social Engineering Attacks in the Age of LLMsCode1
Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question AnsweringCode1
DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing AnomaliesCode1
Deep Triplet Hashing Network for Case-based Medical Image RetrievalCode1
Deep Unsupervised Image Hashing by Maximizing Bit EntropyCode1
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuningCode1
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature AggregationCode1
Advancing High-Resolution Video-Language Representation with Large-Scale Video TranscriptionsCode1
Deep Self-Supervised Representation Learning for Free-Hand SketchCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
2nd Place Solution to Google Landmark Retrieval 2021Code1
DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point ThinkingCode1
DeepPatent: Large scale patent drawing recognition and retrievalCode1
2nd Place and 2nd Place Solution to Kaggle Landmark Recognition andRetrieval Competition 2019Code1
Deep Reinforcement Learning with Task-Adaptive Retrieval via HypernetworkCode1
Deep Hashing Network for Unsupervised Domain AdaptationCode1
Deep metric learning using Triplet networkCode1
Deep Relational Metric LearningCode1
Stochastic Attraction-Repulsion Embedding for Large Scale Image LocalizationCode1
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose EstimationCode1
Deep Complex NetworksCode1
Decoupling Strategy and Generation in Negotiation DialoguesCode1
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment PathsCode1
Decouple knowledge from parameters for plug-and-play language modelingCode1
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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