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 10651–10675 of 14297 papers

TitleStatusHype
Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection—0
Embedding And Clustering Your Data Can Improve Contrastive Pretraining—0
Embedding Arithmetic of Multimodal Queries for Image Retrieval—0
Embedding based on function approximation for large scale image search—0
Embedding-based Product Retrieval in Taobao Search—0
Embedding-based Recommender System for Job to Candidate Matching on Scale—0
Embedding based retrieval for long tail search queries in ecommerce—0
Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data—0
Embedding Compression with Isotropic Iterative Quantization—0
Embedding Electronic Health Records for Clinical Information Retrieval—0
Embedding Label Structures for Fine-Grained Feature Representation—0
Embedding Meta-Textual Information for Improved Learning to Rank—0
Embedding Method for Knowledge Graph with Densely Defined Ontology—0
Embedding models for recommendation under contextual constraints—0
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval—0
EmbNum: Semantic labeling for numerical values with deep metric learning—0
Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation—0
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks—0
EmoWear: Exploring Emotional Teasers for Voice Message Interaction on Smartwatches—0
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval—0
Empirical analysis of Binding Precedent efficiency in the Brazilian Supreme Court via Similar Case Retrieval—0
Empirical performance maximization for linear rank statistics—0
Empowering Agentic Video Analytics Systems with Video Language Models—0
Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights—0
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval—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