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 726750 of 14297 papers

TitleStatusHype
DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point ThinkingCode1
Accounting for Input Noise in Gaussian Process Parameter RetrievalCode1
Stochastic Attraction-Repulsion Embedding for Large Scale Image LocalizationCode1
Deep Unsupervised Image Hashing by Maximizing Bit EntropyCode1
Structured Multi-Track Accompaniment Arrangement via Style Prior ModellingCode1
Deep Self-Supervised Representation Learning for Free-Hand SketchCode1
An Approach to Ensure Fairness in News ArticlesCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Defending Against Social Engineering Attacks in the Age of LLMsCode1
Deep metric learning using Triplet networkCode1
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement SystemCode1
DeepPatent: Large scale patent drawing recognition and retrievalCode1
Deep Evidential Learning with Noisy Correspondence for Cross-Modal RetrievalCode1
Deep Hashing Network for Unsupervised Domain AdaptationCode1
Deep Reinforcement Learning with Task-Adaptive Retrieval via HypernetworkCode1
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot LearningCode1
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment PathsCode1
Deeper Convolutional Neural Networks and Broad Augmentation Policies Improve Performance in Musical Key EstimationCode1
Decoupling Strategy and Generation in Negotiation DialoguesCode1
Deep Complex NetworksCode1
DeeperImpact: Optimizing Sparse Learned Index StructuresCode1
Deep Relational Metric LearningCode1
Deformation-Aware 3D Model Embedding and RetrievalCode1
Dimension Reduction for Efficient Dense Retrieval via Conditional AutoencoderCode1
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsCode1
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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