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

Showing 29012950 of 14297 papers

TitleStatusHype
Bilingual BSARD: Extending Statutory Article Retrieval to DutchCode0
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text miningCode0
Lexically-Accelerated Dense RetrievalCode0
A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based InsightsCode0
Lexicon and Rule-based Word Lemmatization Approach for the Somali LanguageCode0
Leveraging Unlabeled Data for Crowd Counting by Learning to RankCode0
Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial DatasetsCode0
Bi-Directional Lattice Recurrent Neural Networks for Confidence EstimationCode0
Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity LinkingCode0
A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria for Robust Phase RetrievalCode0
Leveraging Geometry for Shape Estimation from a Single RGB ImageCode0
Leveraging Acoustic Images for Effective Self-Supervised Audio Representation LearningCode0
Less is More: Removing Text-regions Improves CLIP Training Efficiency and RobustnessCode0
Let's Transfer Transformations of Shared Semantic RepresentationsCode0
Leveraging Automatic CAD Annotations for Supervised Learning in 3D Scene UnderstandingCode0
A Clustering-Based Combinatorial Approach to Unsupervised Matching of Product TitlesCode0
A New Benchmark and Approach for Fine-grained Cross-media RetrievalCode0
Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge RetrievalCode0
Less is More: Rejecting Unreliable Reviews for Product Question AnsweringCode0
Leveraging Capsule Routing to Associate Knowledge with Medical Literature HierarchicallyCode0
Linguistically Informed Masking for Representation Learning in the Patent DomainCode0
Length is a Curse and a Blessing for Document-level SemanticsCode0
LeNER-Br: a Dataset for Named Entity Recognition in Brazilian Legal TextCode0
Legal Case Document Similarity: You Need Both Network and TextCode0
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for RecommendationCode0
Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced ClaimsCode0
2D Matryoshka Training for Information RetrievalCode0
LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question AnsweringCode0
Learn to Understand Negation in Video RetrievalCode0
Learning Without LossCode0
Extractive Explanations for Interpretable Text RankingCode0
A DQN-based Approach to Finding Precise Evidences for Fact VerificationCode0
Beyond Short Snippets: Deep Networks for Video ClassificationCode0
Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form GenerationCode0
A Closer Look at Reference Learning for Fourier Phase RetrievalCode0
Learning with Average Precision: Training Image Retrieval with a Listwise LossCode0
An Evaluation Framework for Attributed Information Retrieval using Large Language ModelsCode0
LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval DatasetCode0
Learning Unseen Modality InteractionCode0
Learning Two-Branch Neural Networks for Image-Text Matching TasksCode0
Beyond Relevance: Evaluate and Improve Retrievers on Perspective AwarenessCode0
Learning to Weight for Text ClassificationCode0
Learning Visual Actions Using Multiple Verb-Only LabelsCode0
Beyond Questions: Leveraging ColBERT for Keyphrase SearchCode0
Learning to Speak and Act in a Fantasy Text Adventure GameCode0
Beyond Product Quantization: Deep Progressive Quantization for Image RetrievalCode0
Learning to Search in Long Documents Using Document StructureCode0
Learning Visual Importance for Graphic Designs and Data VisualizationsCode0
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)Code0
Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak SupervisionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified