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 9326–9350 of 14297 papers

TitleStatusHype
jina-embeddings-v3: Multilingual Embeddings With Task LoRA—0
基于结构检索的汉语介动搭配知识库构建(Construction of Preposition-verb Knowledge Base Based on Structure Retrieval)—0
Joint-Dataset Learning and Cross-Consistent Regularization for Text-to-Motion Retrieval—0
Joint Dimensionality Reduction for Separable Embedding Estimation—0
Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks—0
Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up—0
Joint Gaussian Processes for Biophysical Parameter Retrieval—0
Joint Learning from Labeled and Unlabeled Data for Information Retrieval—0
Joint Learning of Interactive Spoken Content Retrieval and Trainable User Simulator—0
Joint Localization and Information Transfer for Reconfigurable Intelligent Surface Aided Full-Duplex Systems—0
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input—0
Jointly Optimized Global-Local Visual Localization of UAVs—0
Joint Modeling and Optimization of Search and Recommendation—0
100,000 Podcasts: A Spoken English Document Corpus—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Joint Models for Answer Verification in Question Answering Systems—0
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems—0
Joint Passage Ranking for Diverse Multi-Answer Retrieval—0
Joint Representations of Text and Knowledge Graphs for Retrieval and Evaluation—0
Joint Retrieval of Cloud properties using Attention-based Deep Learning Models—0
Joint Sentiment/Topic Modeling on Text Data Using Boosted Restricted Boltzmann Machine—0
Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents—0
Joint Triplet Autoencoder for Histopathological Colon Cancer Nuclei Retrieval—0
Joint Verification and Reranking for Open Fact Checking Over Tables—0
Joint Visual-Textual Embedding for Multimodal Style Search—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