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 9101–9125 of 14297 papers

TitleStatusHype
Affine-modeled video extraction from a single motion blurred image—0
``None of the Above'': Measure Uncertainty in Dialog Response Retrieval—0
Non-Inherent Feature Compatible Learning—0
Non-Iterative Phase Retrieval With Cascaded Neural Networks—0
Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests—0
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models—0
Enhancing Document Retrieval for Curating N-ary Relations in Knowledge Bases—0
Non-Parametric Adaptation for Neural Machine Translation—0
Nonparametric Bayesian Storyline Detection from Microtexts—0
On the Capacity of Quantum Private Information Retrieval from MDS-Coded and Colluding Servers—0
Multi-Grained Attention Network With Mutual Exclusion for Composed Query-Based Image Retrieval—0
Non-Parametric Temporal Adaptation for Social Media Topic Classification—0
No Captions, No Problem: Captionless 3D-CLIP Alignment with Hard Negatives via CLIP Knowledge and LLMs—0
Non-rigid 3D shape retrieval based on multi-view metric learning—0
Nonstationary Distance Metric Learning—0
Non-Stationary Power System Forced Oscillation Analysis using Synchrosqueezing Transform—0
On the Biased Assessment of Expert Finding Systems—0
No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling—0
Multi-Frequency Phase Retrieval for Antenna Measurements—0
MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering—0
Normalized Human Pose Features for Human Action Video Alignment—0
Enhancing Fact Retrieval in PLMs through Truthfulness—0
Learning Test-time Augmentation for Content-based Image Retrieval—0
Evaluation of Field-Aware Neural Ranking Models for Recipe Search—0
Multi-Field Adaptive Retrieval—0
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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