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 676–700 of 14297 papers

TitleStatusHype
Deformation-Aware 3D Model Embedding and RetrievalCode1
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuningCode1
Deep Unsupervised Image Hashing by Maximizing Bit EntropyCode1
DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing AnomaliesCode1
Defending Against Social Engineering Attacks in the Age of LLMsCode1
DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point ThinkingCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Stochastic Attraction-Repulsion Embedding for Large Scale Image LocalizationCode1
Analogous to Evolutionary Algorithm: Designing a Unified Sequence ModelCode1
Deep Self-Supervised Representation Learning for Free-Hand SketchCode1
Deep Triplet Hashing Network for Case-based Medical Image RetrievalCode1
DeepPatent: Large scale patent drawing recognition and retrievalCode1
A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal RetrievalCode1
Deep Reinforcement Learning with Task-Adaptive Retrieval via HypernetworkCode1
Deep Hashing Network for Unsupervised Domain AdaptationCode1
Deep Evidential Learning with Noisy Correspondence for Cross-Modal RetrievalCode1
Deep metric learning using Triplet networkCode1
Deep Relational Metric LearningCode1
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot LearningCode1
A Dense Representation Framework for Lexical and Semantic MatchingCode1
Deeper Convolutional Neural Networks and Broad Augmentation Policies Improve Performance in Musical Key EstimationCode1
Deep Complex NetworksCode1
Decoupling Strategy and Generation in Negotiation DialoguesCode1
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment PathsCode1
DeeperImpact: Optimizing Sparse Learned Index StructuresCode1
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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