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 6626–6650 of 14297 papers

TitleStatusHype
Insights into Entity Name Evolution on Wikipedia—0
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution—0
Cross-Modal Deep Variational Hashing—0
Instance-Aware Hashing for Multi-Label Image Retrieval—0
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing—0
Instance-based Transfer Learning for Multilingual Deep Retrieval—0
Instance Image Retrieval by Learning Purely From Within the Dataset—0
Implicit Negative Feedback in Clinical Information Retrieval—0
Cross-modal Deep Metric Learning with Multi-task Regularization—0
Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network—0
Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition—0
Instance Selection for Online Automatic Post-Editing in a multi-domain scenario—0
Implementing Learning Principles with a Personal AI Tutor: A Case Study—0
Instance-Variant Loss with Gaussian RBF Kernel for 3D Cross-modal Retriveal—0
Instance-weighted Central Similarity for Multi-label Image Retrieval—0
Implementation of a noisy hyperlink removal system: A semantic and relatedness approach—0
Instruct-Imagen: Image Generation with Multi-modal Instruction—0
Cross-Modal Coordination Across a Diverse Set of Input Modalities—0
Authorship Verification - An Approach based on Random Forest—0
InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning—0
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization—0
A Multi-task Learning Framework for Product Ranking with BERT—0
InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning—0
Adaptive Semantic-Visual Tree for Hierarchical Embeddings—0
Enhancing Low-Resource Minority Language Translation with LLMs and Retrieval-Augmented Generation for Cultural Nuances—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