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 8851–8900 of 14297 papers

TitleStatusHype
Multi-view Point Cloud Registration with Adaptive Convergence Threshold and its Application on 3D Model Retrieval—0
Multi-view polarimetric scattering cloud tomography and retrieval of droplet size—0
Multi-View Product Image Search Using Deep ConvNets Representations—0
Multi-view Reconstructive Preserving Embedding for Dimension Reduction—0
Multi-view Recurrent Neural Acoustic Word Embeddings—0
Multi-View Task-Driven Recognition in Visual Sensor Networks—0
Nonstationary Distance Metric Learning—0
Multi-word Term Embeddings Improve Lexical Product Retrieval—0
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text—0
MURAL: Multimodal, Multitask Representations Across Languages—0
MURAL: Multimodal, Multitask Retrieval Across Languages—0
MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering—0
Can Old TREC Collections Reliably Evaluate Modern Neural Retrieval Models?—0
Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture—0
A Complex Constrained Total Variation Image Denoising Algorithm with Application to Phase Retrieval—0
Non-Parametric Temporal Adaptation for Social Media Topic Classification—0
Multilingual Universal Sentence Encoder for Semantic Retrieval—0
Multilingual training for Software Engineering—0
Museum Painting Retrieval—0
Musical Features for Automatic Music Transcription Evaluation—0
Musical Information Extraction from the Singing Voice—0
Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning—0
Efficient k-NN Search in IoT Data: Overlap Optimization in Tree-Based Indexing Structures—0
Multilingual Test Sets for Machine Translation of Search Queries for Cross-Lingual Information Retrieval in the Medical Domain—0
How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging—0
Music Auto-Tagging with Robust Music Representation Learned via Domain Adversarial Training—0
Can MusicGen Create Training Data for MIR Tasks?—0
A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation—0
Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task—0
Multilingual Representation Distillation with Contrastive Learning—0
Multilingual Open QA on the MIA Shared Task—0
MusiCoder: A Universal Music-Acoustic Encoder Based on Transformers—0
Music Performance Analysis: A Survey—0
Music-to-Dance Generation with Optimal Transport—0
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation—0
3D Interpreter Networks for Viewer-Centered Wireframe Modeling—0
Efficient In-Domain Question Answering for Resource-Constrained Environments—0
MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation—0
Embedding Meta-Textual Information for Improved Learning to Rank—0
Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access—0
Multi-Lingual Malaysian Embedding: Leveraging Large Language Models for Semantic Representations—0
Efficient Indexing of Billion-Scale Datasets of Deep Descriptors—0
Embedding models for recommendation under contextual constraints—0
NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders—0
Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context—0
Non-rigid 3D shape retrieval based on multi-view metric learning—0
Named Entity Evolution Analysis on Wikipedia—0
Named Entity Recognition in Context—0
Named Entity Recognition System for Sindhi Language—0
No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling—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