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 8751–8800 of 14297 papers

TitleStatusHype
NLM at MEDIQA 2021: Transfer Learning-based Approaches for Consumer Question and Multi-Answer Summarization—0
Non-Stationary Power System Forced Oscillation Analysis using Synchrosqueezing Transform—0
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections—0
Efficient phase retrieval based on dark fringe recognition with an ability of bypassing invalid fringes—0
Multimodal Search on Iconclass using Vision-Language Pre-Trained Models—0
Multi-modal Self-Supervision from Generalized Data Transformations—0
Efficient refinement of GPS-based localization in urban areas using visual information and sensor parameter—0
Multi-Modal Fashion Product Retrieval—0
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction—0
Multimodal sparse representation learning and applications—0
Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights—0
Application of NotebookLM, a Large Language Model with Retrieval-Augmented Generation, for Lung Cancer Staging—0
Multimodal Entity Tagging with Multimodal Knowledge Base—0
Multimodal Dialogue Response Generation—0
Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling—0
Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base—0
Multi-Modal Cross-Domain Alignment Network for Video Moment Retrieval—0
Efficient Long Context Language Model Retrieval with Compression—0
Efficient Retrieval of Logos Using Rough Set Reducts—0
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs—0
Multi-path Exploration and Feedback Adjustment for Text-to-Image Person Retrieval—0
Efficient Retrieval Optimized Multi-task Learning—0
Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models—0
Multi-Perspective Semantic Information Retrieval—0
Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval—0
Multiple Discrimination and Pairwise CNN for View-based 3D Object Retrieval—0
Multiple Document Representations from News Alerts for Automated Bio-surveillance Event Detection—0
Efficient learning of neighbor representations for boundary trees and forests—0
Multimodal Contrastive Training for Visual Representation Learning—0
Classification and Generation of real-world data with an Associative Memory Model—0
Multiple Scattering Media Imaging via End-to-End Neural Network—0
Multiple-Scattering Microphysics Tomography—0
Multiple Visual-Semantic Embedding for Video Retrieval from Query Sentence—0
Multi-Query Focused Disaster Summarization via Instruction-Based Prompting—0
Can Structured Data Reduce Epistemic Uncertainty?—0
Multimodal Contextualized Support for Enhancing Video Retrieval System—0
Efficient Learning for Undirected Topic Models—0
A Flexible Online Framework for Projection-Based STFT Phase Retrieval—0
Efficient Learning Content Retrieval with Knowledge Injection—0
Multimodal Approach for Video Surveillance Indexing and Retrieval—0
Efficient Large-Scale Similarity Search Using Matrix Factorization—0
Multi-modal Alignment using Representation Codebook—0
Application of Audio Fingerprinting Techniques for Real-Time Scalable Speech Retrieval and Speech Clusterization—0
Multi-scale 2D Representation Learning for weakly-supervised moment retrieval—0
Multiscale Matching Driven by Cross-Modal Similarity Consistency for Audio-Text Retrieval—0
Multi-scale Orderless Pooling of Deep Convolutional Activation Features—0
EFSA: Episodic Few-Shot Adaptation for Text-to-Image Retrieval—0
Multi-Scale Temporal Difference Transformer for Video-Text Retrieval—0
Neural method for Explicit Mapping of Quasi-curvature Locally Linear Embedding in image retrieval—0
Can Old TREC Collections Reliably Evaluate Modern Neural Retrieval Models?—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