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 12201–12250 of 14297 papers

TitleStatusHype
Ranking Robustness Under Adversarial Document Manipulations—0
Towards Theoretical Understanding of Weak Supervision for Information Retrieval—0
Analysis of Search Stratagem Utilisation—0
Explainable Agreement through Simulation for Tasks with Subjective Labels—0
OpenEDGAR: Open Source Software for SEC EDGAR AnalysisCode0
Information Retrieval in African Languages—0
Named Entity Recognition with Extremely Limited DataCode0
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation—0
Distributed Evaluations: Ending Neural Point Metrics—0
Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text RetrievalCode0
Smoothed analysis of the low-rank approach for smooth semidefinite programs—0
Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances—0
Linear Spectral Estimators and an Application to Phase Retrieval—0
Learning to Search in Long Documents Using Document StructureCode0
DeepFirearm: Learning Discriminative Feature Representation for Fine-grained Firearm RetrievalCode0
Measuring Conversational Productivity in Child Forensic Interviews—0
Unsupervised Learning for Surgical Motion by Learning to Predict the Future—0
Real-time coherent diffraction inversion using deep generative networks—0
JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual FeaturesCode0
Revisiting Singing Voice Detection: a Quantitative Review and the Future OutlookCode0
An unsupervised and customizable misspelling generator for mining noisy health-related text sourcesCode0
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating—0
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction—0
Bidirectional Retrieval Made Simple—0
Deep Cauchy Hashing for Hamming Space RetrievalCode0
Feature Super-Resolution: Make Machine See More Clearly—0
HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN—0
LAMV: Learning to Align and Match Videos With Kernelized Temporal LayersCode0
Unsupervised Feature Learning via Non-Parametric Instance DiscriminationCode1
Unsupervised Deep Generative Adversarial Hashing Network—0
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition—0
Automatic Distractor Suggestion for Multiple-Choice Tests Using Concept Embeddings and Information Retrieval—0
Toward Data-Driven Tutorial Question Answering with Deep Learning Conversational Models—0
NAI-SEA at SemEval-2018 Task 5: An Event Search System—0
The Timing of Lexical Memory Retrievals in Language Production—0
Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes—0
Variable Typing: Assigning Meaning to Variables in Mathematical Text—0
Mining Evidences for Concept Stock Recommendation—0
ArgumenText: Searching for Arguments in Heterogeneous Sources—0
Cross-Lingual Learning-to-Rank with Shared Representations—0
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset—0
Collaborative Multi-modal deep learning for the personalized product retrieval in Facebook Marketplace—0
Legal Document Retrieval using Document Vector Embeddings and Deep Learning—0
Generative Adversarial Image Synthesis with Decision Tree Latent Controller—0
Deep Watershed Detector for Music Object Recognition—0
Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network—0
Video Summarization Using Fully Convolutional Sequence Networks—0
Scalable and Robust Community Detection with Randomized Sketching—0
An experimental comparison of label selection methods for hierarchical document clusters—0
Image-to-image translation for cross-domain disentanglementCode0
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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