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 10401–10450 of 14297 papers

TitleStatusHype
Multi-Grained Attention Network With Mutual Exclusion for Composed Query-Based Image Retrieval—0
Multi-Granularity and Multi-modal Feature Interaction Approach for Text Video Retrieval—0
Multi-granularity Association Learning Framework for on-the-fly Fine-Grained Sketch-based Image Retrieval—0
Multi-Granularity Framework for Unsupervised Representation Learning of Time Series—0
Multi-Granularity Graph Pooling for Video-based Person Re-Identification—0
Multi-Granularity Representations of Dialog—0
Multi-Head Deep Metric Learning Using Global and Local Representations—0
Multi-hop Question Answering under Temporal Knowledge Editing—0
Multi-input Architecture and Disentangled Representation Learning for Multi-dimensional Modeling of Music Similarity—0
Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning—0
Multi-Label Learning to Rank through Multi-Objective Optimization—0
Multi-label Learning with Missing Labels using Mixed Dependency Graphs—0
Multilabel reductions: what is my loss optimising?—0
Multi-label Sound Event Retrieval Using a Deep Learning-based Siamese Structure with a Pairwise Presence Matrix—0
Multilateral Semantic Relations Modeling for Image Text Retrieval—0
Multi-layer Architecture For Storing Visual Data Based on WCF and Microsoft SQL Server Database—0
Multi-Layer Ranking with Large Language Models for News Source Recommendation—0
Multi-level Temporal-channel Speaker Retrieval for Zero-shot Voice Conversion—0
Neural Approaches to Multilingual Information Retrieval—0
Multilingual Evaluation of Semantic Textual Relatedness—0
Multilingual Few-Shot Learning via Language Model Retrieval—0
Multi-Lingual Malaysian Embedding: Leveraging Large Language Models for Semantic Representations—0
Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access—0
Multilingual Open QA on the MIA Shared Task—0
Multilingual Representation Distillation with Contrastive Learning—0
Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task—0
Multilingual Test Sets for Machine Translation of Search Queries for Cross-Lingual Information Retrieval in the Medical Domain—0
Multilingual training for Software Engineering—0
Multilingual Universal Sentence Encoder for Semantic Retrieval—0
Multi-modal Alignment using Representation Codebook—0
Multimodal Approach for Video Surveillance Indexing and Retrieval—0
Multimodal Contextualized Support for Enhancing Video Retrieval System—0
Multimodal Contrastive Training for Visual Representation Learning—0
Multi-Modal Cross-Domain Alignment Network for Video Moment Retrieval—0
Multimodal Dialogue Response Generation—0
Multimodal Entity Tagging with Multimodal Knowledge Base—0
Multi-Modal Fashion Product Retrieval—0
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections—0
Multi-modal Fusion and Query Refinement Network for Video Moment Retrieval and Highlight Detection—0
Multimodal Gaussian Process Latent Variable Models With Harmonization—0
Multi-Modal Generative Embedding Model—0
Multi-modal image retrieval with random walk on multi-layer graphs—0
Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision—0
Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap—0
Multimodal Learned Sparse Retrieval for Image Suggestion—0
Multimodal Learning with Deep Boltzmann Machines—0
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions—0
Multimodal Misinformation Detection using Large Vision-Language Models—0
Multimodal Mood Classification - A Case Study of Differences in Hindi and Western Songs—0
Multimodal Multihop Source Retrieval for Web Question Answering—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