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 3101–3150 of 14297 papers

TitleStatusHype
Learning to Retrieve Engaging Follow-Up QueriesCode0
Learning to Rank Context for Named Entity Recognition Using a Synthetic DatasetCode0
Learning to Prune in Metric and Non-Metric SpacesCode0
Learning to Minimize the Remainder in Supervised LearningCode0
Learning to Match Using Local and Distributed Representations of Text for Web SearchCode0
Learning to Rank Words: Optimizing Ranking Metrics for Word SpottingCode0
Learning to Learn from Web Data through Deep Semantic EmbeddingsCode0
Learning to Locate Visual Answer in Video Corpus Using QuestionCode0
Learning to Match Mathematical Statements with ProofsCode0
Learning to Search in Long Documents Using Document StructureCode0
Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB ImagesCode0
Learning to Ask: Question-based Sequential Bayesian Product SearchCode0
Learning to compress and search visual data in large-scale systemsCode0
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval ServiceCode0
Learning to Abstract for Memory-augmented Conversational Response GenerationCode0
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature EngineeringCode0
Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented GenerationCode0
Learning Spatial-context-aware Global Visual Feature Representation for Instance Image RetrievalCode0
A Dataset and Framework for Learning State-invariant Object RepresentationsCode0
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent DomainsCode0
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video HashingCode0
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context UnderstandingCode0
Auto-ReID: Searching for a Part-aware ConvNet for Person Re-IdentificationCode0
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event SequencesCode0
Accommodating Audio Modality in CLIP for Multimodal ProcessingCode0
Analyzing Research Trends in Inorganic Materials Literature Using NLPCode0
Learning semantic sentence representations from visually grounded language without lexical knowledgeCode0
Learning Retrieval Augmentation for Personalized Dialogue GenerationCode0
Adding simple structure at inference improves Vision-Language CompositionalityCode0
Learning Self-Regularized Adversarial Views for Self-Supervised Vision TransformersCode0
Learning Ordered Representations with Nested DropoutCode0
AutoML-guided Fusion of Entity and LLM-based Representations for Document ClassificationCode0
Adding Cues to Binary Feature Descriptors for Visual Place RecognitionCode0
AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance LabelsCode0
AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video UnderstandingCode0
Learning Metrics from Teachers: Compact Networks for Image EmbeddingCode0
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance ModelsCode0
Learning Permutation-Invariant Embeddings for Description Logic ConceptsCode0
Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn GraphsCode0
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual FeaturesCode0
Learning Dynamic Author Representations with Temporal Language ModelsCode0
Learning Dual Retrieval Module for Semi-supervised Relation ExtractionCode0
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question AnsweringCode0
Learning Disentangled Representations via Mutual Information EstimationCode0
A Dataset of Kurdish (Sorani) Named Entities -- An Amendment to Kurdish-BLARK Named EntitiesCode0
Automatic Signboard Detection and Localization in Densely Populated Developing CitiesCode0
Learning Discriminative 3D Shape Representations by View Discerning NetworksCode0
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to RankCode0
Automatic retrieval of corresponding US views in longitudinal examinationsCode0
Learning Deep Nearest Neighbor Representations Using Differentiable Boundary TreesCode0
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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