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 30513100 of 14297 papers

TitleStatusHype
Learning to Search in Long Documents Using Document StructureCode0
A Deep Learning Architecture for Passive Microwave Precipitation Retrievals using CloudSat and GPM DataCode0
Learning to Speak and Act in a Fantasy Text Adventure GameCode0
Barcode Annotations for Medical Image Retrieval: A Preliminary InvestigationCode0
Bangla Parts-of-Speech Tagging using Bangla Stemmer and Rule based AnalyzerCode0
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian PhilosophyCode0
Learning to Represent Bilingual DictionariesCode0
Anchoring Path for Inductive Relation Prediction in Knowledge GraphsCode0
Learning to Retrieve Engaging Follow-Up QueriesCode0
Learn to Understand Negation in Video RetrievalCode0
Learning to Rank Words: Optimizing Ranking Metrics for Word SpottingCode0
Balancing Speed and Quality in Online Learning to Rank for Information RetrievalCode0
Learning to Prune in Metric and Non-Metric SpacesCode0
Learning to Rank Context for Named Entity Recognition Using a Synthetic DatasetCode0
Learning to Match Using Local and Distributed Representations of Text for Web SearchCode0
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box ModelsCode0
Learning to Minimize the Remainder in Supervised LearningCode0
Learning to Locate Visual Answer in Video Corpus Using QuestionCode0
An Axiomatic Analysis of Diversity Evaluation Metrics: Introducing the Rank-Biased Utility MetricCode0
Learning to Match Mathematical Statements with ProofsCode0
Balance Act: Mitigating Hubness in Cross-Modal Retrieval with Query and Gallery BanksCode0
An Autoencoder Architecture for L-band Passive Microwave Retrieval of Landscape Freeze-Thaw CycleCode0
Bags of Local Convolutional Features for Scalable Instance SearchCode0
Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented GenerationCode0
Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB ImagesCode0
Learning to Learn from Web Data through Deep Semantic EmbeddingsCode0
Extractive Explanations for Interpretable Text RankingCode0
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval ServiceCode0
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature EngineeringCode0
A Deep Bag-of-Features Model for Music Auto-TaggingCode0
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event SequencesCode0
Learning to Abstract for Memory-augmented Conversational Response GenerationCode0
Learning Spatial-context-aware Global Visual Feature Representation for Instance Image RetrievalCode0
A Dataset and Framework for Learning State-invariant Object RepresentationsCode0
A Deep Architecture for Semantic Matching with Multiple Positional Sentence RepresentationsCode0
Learning Self-Regularized Adversarial Views for Self-Supervised Vision TransformersCode0
Whispers in Grammars: Injecting Covert Backdoors to Compromise Dense Retrieval SystemsCode0
Learning semantic sentence representations from visually grounded language without lexical knowledgeCode0
Learning to Ask: Question-based Sequential Bayesian Product SearchCode0
A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing ImagesCode0
Learning Permutation-Invariant Embeddings for Description Logic ConceptsCode0
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative DecodingCode0
A Zero-Shot Framework for Sketch-based Image RetrievalCode0
Learning Ordered Representations with Nested DropoutCode0
Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval ModelsCode0
A Workbench for Autograding Retrieve/Generate SystemsCode0
Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin SoftmaxCode0
Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning from Unlabeled Videos and 3D-Shape RetrievalCode0
Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text RetrievalCode0
Learning Metrics from Teachers: Compact Networks for Image EmbeddingCode0
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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