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 6301–6350 of 14297 papers

TitleStatusHype
Image Retrieval with Mixed Initiative and Multimodal Feedback—0
Clustering Billions of Reads for DNA Data Storage—0
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering—0
Image Segmentation by Uniform Color Clustering Approach and Benchmark Results—0
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering—0
Image Similarity Using Sparse Representation and Compression Distance—0
Image Specificity—0
Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models—0
Cross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval—0
Image Tag Completion and Refinement by Subspace Clustering and Matrix Completion—0
Image-Text Matching with Multi-View Attention—0
Image-text Retrieval: A Survey on Recent Research and Development—0
Clustering and Retrieval Method of Immunological Memory Cell in Clonal Selection Algorithm—0
Image-Text Retrieval with Binary and Continuous Label Supervision—0
ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding—0
Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models—0
Image Transformation Sequence Retrieval with General Reinforcement Learning—0
Exploring the context of visual information seeking—0
Image understanding and the web—0
Imagination Based Sample Construction for Zero-Shot Learning—0
Clustering Analysis of Interactive Learning Activities Based on Improved BIRCH Algorithm—0
Imagine and Seek: Improving Composed Image Retrieval with an Imagined Proxy—0
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval—0
Imaging in random media by two-point coherent interferometry—0
Exploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector—0
Immediate, Scalable Object Category Detection—0
Clustering Algorithms and RAG Enhancing Semi-Supervised Text Classification with Large LLMs—0
Impact of detecting clinical trial elements in exploration of COVID-19 literature—0
Impact of Response Latency on User Behaviour in Mobile Web Search—0
Impact of Semantic Granularity on Geographic Information Search Support—0
Artpedia—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Implementation Notes for the Soft Cosine Measure—0
Implementation of an efficient Fuzzy Logic based Information Retrieval System—0
A Hybrid Approach to Generation of Missing Abstracts in Biomedical Literature—0
Cluster-Based Information Retrieval by using (K-means)- Hierarchical Parallel Genetic Algorithms Approach—0
Cross-modal Deep Metric Learning with Multi-task Regularization—0
Implicit Negative Feedback in Clinical Information Retrieval—0
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution—0
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion—0
Implicit semantic-based personalized micro-videos recommendation—0
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval—0
Artificial Musical Intelligence: A Survey—0
Cluster-Aware Similarity Diffusion for Instance Retrieval—0
Improv Chat: Second Response Generation for Chatbot—0
Improved Answer Selection with Pre-Trained Word Embeddings—0
Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrieval—0
Improved Deep Metric Learning with Multi-class N-pair Loss Objective—0
A Hybrid Approach for Improved Content-based Image Retrieval using Segmentation—0
Interferences in match kernels—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