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 11901–11950 of 14297 papers

TitleStatusHype
Dynamic Thresholding Mechanisms for IR-Based Filtering in Efficient Source Code Plagiarism Detection—0
Automatic Identification and Ranking of Emergency Aids in Social Media Macro Community—0
Investigating non-classical correlations between decision fused multi-modal documents—0
Single-shot image retrieval through a multimode fiber using a genetic algorithm—0
Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each sourceCode1
Efficient learning of neighbor representations for boundary trees and forests—0
Expedition: A Time-Aware Exploratory Search System Designed for Scholars—0
Perceptual Visual Interactive Learning—0
Discovering Entities with Just a Little Help from You—0
Text Embeddings for Retrieval From a Large Knowledge Base—0
Sleep-like slow oscillations improve visual classification through synaptic homeostasis and memory association in a thalamo-cortical model—0
The Capacity of Private Information Retrieval from Uncoded Storage Constrained Databases—0
Time-Aware and Corpus-Specific Entity Relatedness—0
Semi-supervised acoustic model training for speech with code-switching—0
How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval—0
Making question answering more robust through relevant context selection—0
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted IndexingCode0
Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features—0
Brain Tumor Image Retrieval via Multitask Learning—0
Where is this? Video geolocation based on neural network features—0
Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis—0
3D shape retrieval basing on representatives of classes—0
Learning Material-Aware Local Descriptors for 3D Shapes—0
Dictionary Learning Phase Retrieval from Noisy Diffraction Patterns—0
An Efficient Data Retrieval Parallel Reeb Graph Algorithm—0
Fast deep reinforcement learning using online adjustments from the pastCode0
A Convolutional Autoencoder Approach to Learn Volumetric Shape Representations for Brain StructuresCode0
A Retrieval Framework and Implementation for Electronic Documents with Similar Layouts—0
Fast Randomized PCA for Sparse DataCode0
Cross-Modal and Hierarchical Modeling of Video and TextCode0
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions—0
Deep Metric Learning with Hierarchical Triplet Loss—0
Stochastic Negative Mining for Learning with Large Output Spaces—0
SpiNNTools: The Execution Engine for the SpiNNaker Platform—0
Unsupervised Deep Features for Remote Sensing Image Matching via Discriminator Network—0
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images—0
Finding Similar Medical Questions from Question Answering Websites—0
Important Attribute Identification in Knowledge Graph—0
V3C - a Research Video Collection—0
Probabilistic Blocking with An Application to the Syrian Conflict—0
A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice—0
Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling—0
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional PriorCode0
Dense Multimodal Fusion for Hierarchically Joint Representation—0
C-DLSI: An Extended LSI Tailored for Federated Text Retrieval—0
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset—0
Seq2Slate: Re-ranking and Slate Optimization with RNNs—0
A method to Suppress Facial Expression in Posed and Spontaneous Videos—0
A deep learning pipeline for product recognition on store shelves—0
A Deep Autoencoder System for Differentiation of Cancer Types Based on DNA Methylation State—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