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 10601–10625 of 14297 papers

TitleStatusHype
Efficient Learning Content Retrieval with Knowledge Injection—0
Efficient Learning for Undirected Topic Models—0
Efficient learning of neighbor representations for boundary trees and forests—0
Efficient Long Context Language Model Retrieval with Compression—0
Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling—0
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction—0
Efficiently Enabling Block Semantics and Data Updates in DNA Storage—0
Efficient Machine Translation Domain Adaptation—0
Efficient Match Pair Retrieval for Large-scale UAV Images via Graph Indexed Global Descriptor—0
Efficient Media Retrieval from Non-Cooperative Queries—0
Efficient Medical Image Retrieval Using DenseNet and FAISS for BIRADS Classification—0
Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss—0
Efficient Neural Query Auto Completion—0
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders—0
Efficient Online Relative Comparison Kernel Learning—0
Efficient On-the-fly Category Retrieval using ConvNets and GPUs—0
Efficient Optimization for Average Precision SVM—0
Efficient Optimization for Rank-based Loss Functions—0
Efficient phase retrieval based on dark fringe recognition with an ability of bypassing invalid fringes—0
Computationally efficient reductions between some statistical models—0
Efficient refinement of GPS-based localization in urban areas using visual information and sensor parameter—0
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data—0
Efficient Retrieval of Images with Irregular Patterns using Morphological Image Analysis: Applications to Industrial and Healthcare datasets—0
Efficient Retrieval of Logos Using Rough Set Reducts—0
Efficient Retrieval Optimized Multi-task Learning—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