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 7401–7425 of 14297 papers

TitleStatusHype
Learning Graph Edit Distance by Graph Neural Networks—0
Learning Hard Retrieval Decoder Attention for Transformers—0
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
Learning Hash Function through Codewords—0
Learning Health-Bots from Training Data that was Automatically Created using Paraphrase Detection and Expert Knowledge—0
Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech—0
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models—0
Learning High-level Image Representation for Image Retrieval via Multi-Task DNN using Clickthrough Data—0
Learning Illumination Patterns for Coded Diffraction Phase Retrieval—0
Learning Image Information for eCommerce Queries—0
EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension—0
Learning in High-Dimensional Multimedia Data: The State of the Art—0
Class-agnostic Object Detection—0
1-PAGER: One Pass Answer Generation and Evidence Retrieval—0
Leveraging Medical Literature for Section Prediction in Electronic Health Records—0
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images—0
Design and Evaluation of Camera-Centric Mobile Crowdsourcing Applications—0
Learning Joint Representation of Human Motion and Language—0
Learning Joint Representations of Videos and Sentences with Web Image Search—0
Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval—0
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval—0
Learning Language-Visual Embedding for Movie Understanding with Natural-Language—0
Leveraging User-Generated Metadata of Online Videos for Cover Song Identification—0
Evaluation Set for Slovak News Information Retrieval—0
CLAS: A Machine Learning Enhanced Framework for Exploring Large 3D Design Datasets—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