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

Showing 62516300 of 14297 papers

TitleStatusHype
Cluster Language Model for Improved E-Commerce Retrieval and Ranking: Leveraging Query Similarity and Fine-Tuning for Personalized Results0
Image2song: Song Retrieval via Bridging Image Content and Lyric Words0
CLIPPO: Image-and-Language Understanding from Pixels Only0
Image Annotation Incorporating Low-Rankness, Tag and Visual Correlation and Inhomogeneous Errors0
Exploring the landscape of large language models: Foundations, techniques, and challenges0
Adaptive Re-ranking of Deep Feature for Person Re-identification0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks0
Mapping, Localization and Path Planning for Image-based Navigation using Visual Features and Map0
Accelerate Learning of Deep Hashing With Gradient Attention0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs0
ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data0
Clustering is Efficient for Approximate Maximum Inner Product Search0
ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling0
Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models0
Image Change Captioning by Learning From an Auxiliary Task0
Image Classification and Retrieval from User-Supplied Tags0
Cross-Lingual Keyword Search for Sign Language0
Image Classification by Feature Dimension Reduction and Graph based Ranking0
Intelligent Director: An Automatic Framework for Dynamic Visual Composition using ChatGPT0
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation0
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking0
Clustering Billions of Reads for DNA Data Storage0
Image-Mediated Learning for Zero-Shot Cross-Lingual Document Retrieval0
Image Parsing with a Wide Range of Classes and Scene-Level Context0
Image Projective Invariants0
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering0
ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation0
Image Reconstruction from Bag-of-Visual-Words0
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories0
Image Retrieval And Classification Using Local Feature Vectors0
Image Retrieval and Pattern Spotting using Siamese Neural Network0
Image retrieval approach based on local texture information derived from predefined patterns and spatial domain information0
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering0
Image Retrieval Based on Binary Signature ang S-kGraph0
Clustering and Retrieval Method of Immunological Memory Cell in Clonal Selection Algorithm0
Image Retrieval for Arguments Using Stance-Aware Query Expansion0
ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding0
Image Retrieval from Contextual Descriptions0
Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models0
Image retrieval method based on CNN and dimension reduction0
Exploring the context of visual information seeking0
Clustering Analysis of Interactive Learning Activities Based on Improved BIRCH Algorithm0
Image Retrieval System Base on EMD Similarity Measure and S-Tree0
Image Retrieval using Histogram Factorization and Contextual Similarity Learning0
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval0
Image Retrieval Using Scene Graphs0
Image Retrieval with a Bayesian Model of Relevance Feedback0
Image Retrieval with Fisher Vectors of Binary Features0
Image retrieval with hierarchical matching pursuit0
Exploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified