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 11951–12000 of 14297 papers

TitleStatusHype
Quantization-Aware Phase Retrieval—0
Webly Supervised Joint Embedding for Cross-Modal lmage-Text Retrieval—0
Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features—0
Smart vs. Solid Solutions in Computational Linguistics---Machine Translation or Information Retrieval—0
是非題之支持證據檢索 (Supporting Evidence Retrieval for Answering Yes/No Questions) [In Chinese]—0
Lexical Networks in !Xung—0
Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper—0
Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)—0
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images—0
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging—0
Learning Neural Representation for CLIR with Adversarial Framework—0
Learning Hash Codes via Hamming Distance Targets—0
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question AnsweringCode0
Modeling Uncertainty with Hedged Instance EmbeddingCode0
Modelling local phase of images and textures with applications in phase denoising and phase retrieval—0
Direct optimization of F-measure for retrieval-based personal question answering—0
Lorentzian Distance Learning—0
DEEP HIERARCHICAL MODEL FOR HIERARCHICAL SELECTIVE CLASSIFICATION AND ZERO SHOT LEARNING—0
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation—0
Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS—0
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction—0
Content Based Image Retrieval from AWiFS Images Repository of IRS Resourcesat-2 Satellite Based on Water Bodies and Burnt Areas—0
Hierarchy-based Image Embeddings for Semantic Image RetrievalCode0
Night-to-Day Image Translation for Retrieval-based LocalizationCode0
Collaborative Learning for Extremely Low Bit Asymmetric HashingCode0
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview—0
Person Retrieval in Surveillance Video using Height, Color and GenderCode0
LeNER-Br: a Dataset for Named Entity Recognition in Brazilian Legal TextCode0
Parametric Synthesis of Text on Stylized Backgrounds using PGGANs—0
Perfect match: Improved cross-modal embeddings for audio-visual synchronisation—0
Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned—0
Adding Cues to Binary Feature Descriptors for Visual Place RecognitionCode0
Phase retrieval with complexity guidance—0
Automatic Electrodes Detection during simultaneous EEG/fMRI acquisition—0
Dual Encoding for Zero-Example Video RetrievalCode0
Commentary on Quantum-Inspired Information Retrieval—0
AUEB at BioASQ 6: Document and Snippet RetrievalCode0
Document Informed Neural Autoregressive Topic Models with Distributional PriorCode0
Attention as a Perspective for Learning Tempo-invariant Audio Queries—0
Answering Science Exam Questions Using Query Rewriting with Background Knowledge—0
A Formal Account of Effectiveness Evaluation and Ranking Fusion—0
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support—0
Detection-by-Localization: Maintenance-Free Change Object Detector—0
Skeleton-to-Response: Dialogue Generation Guided by Retrieval MemoryCode0
Interpreting search result rankings through intent modeling—0
LiveBot: Generating Live Video Comments Based on Visual and Textual ContextsCode1
Sparse Label Smoothing Regularization for Person Re-IdentificationCode0
Unsupervised Machine Commenting with Neural Variational Topic Model—0
Retrieval-Enhanced Adversarial Training for Neural Response Generation—0
Game-Based Video-Context DialogueCode0
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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