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 7751–7775 of 14297 papers

TitleStatusHype
High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization—0
Efficient data transport over multimode light-pipes with Megapixel images using differentiable ray tracing and Machine-learning—0
Attentive Deep Neural Networks for Legal Document Retrieval—0
A Medical Pre-Diagnosis System for Histopathological Image of Breast Cancer—0
Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search—0
Hierarchy Neighborhood Discriminative Hashing for An Unified View of Single-Label and Multi-Label Image retrieval—0
Library of Congress Subject Heading (LCSH) Browsing and Natural Language Searching—0
CoRet: Improved Retriever for Code Editing—0
AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification—0
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views—0
Hierarchical Structured Neural Network: Efficient Retrieval Scaling for Large Scale Recommendation—0
Coreference information guides human expectations during natural reading—0
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration—0
A Medical Literature Search System for Identifying Effective Treatments in Precision Medicine—0
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation—0
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation—0
Hierarchical Re-ranker Retriever (HRR)—0
Hierarchical Proxy-based Loss for Deep Metric Learning—0
LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization—0
CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation—0
Hierarchical Prototype Learning for Zero-Shot Recognition—0
Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model—0
Hierarchical Multi-Positive Contrastive Learning for Patent Image Retrieval—0
CORD19STS: COVID-19 Semantic Textual Similarity Dataset—0
AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented Generation—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