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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 6801–6825 of 14297 papers

TitleStatusHype
Audio Retrieval with WavText5K and CLAP TrainingCode1
Unified Loss of Pair Similarity Optimization for Vision-Language Retrieval—0
Mr. Right: Multimodal Retrieval on Representation of ImaGe witH TextCode1
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation—0
TokenFlow: Rethinking Fine-grained Cross-modal Alignment in Vision-Language Retrieval—0
Task-dependent fractal patterns of information processing in working memory—0
WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from ParagraphsCode1
mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark—0
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking—0
PROD: Progressive Distillation for Dense Retrieval—0
Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval—0
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature DescriptorsCode1
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation—0
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List StabilityCode0
Regularized Contrastive Learning of Semantic Search—0
Retrieval Based Time Series Forecasting—0
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question AnsweringCode0
Legal Case Document Similarity: You Need Both Network and TextCode0
Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrieval—0
Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired Unsupervised Cross-Modal Retrieval—0
Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance AnalysisCode0
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction—0
Variational Open-Domain Question AnsweringCode1
Promptagator: Few-shot Dense Retrieval From 8 Examples—0
Marine Video Kit: A New Marine Video Dataset for Content-based Analysis and RetrievalCode1
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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