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 576600 of 14297 papers

TitleStatusHype
A Replication Study of Dense Passage RetrieverCode2
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine LearningCode2
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense RepresentationsCode2
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionCode2
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed RetrievalCode2
Learning Dense Representations of Phrases at ScaleCode2
Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsCode2
Pretrained Transformers for Text Ranking: BERT and BeyondCode2
GiantMIDI-Piano: A large-scale MIDI dataset for classical piano musicCode2
Hopfield Networks is All You NeedCode2
Relevance-guided Supervision for OpenQA with ColBERTCode2
MMFashion: An Open-Source Toolbox for Visual Fashion AnalysisCode2
PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural NetworksCode2
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTCode2
Scalable Zero-shot Entity Linking with Dense Entity RetrievalCode2
OpenNRE: An Open and Extensible Toolkit for Neural Relation ExtractionCode2
Document Expansion by Query PredictionCode2
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational AgentsCode2
Knowledge Representation Learning: A Quantitative ReviewCode2
Discrete Event, Continuous Time RNNsCode2
Neural Responding Machine for Short-Text ConversationCode2
RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics FeaturesCode1
Differential MambaCode1
ReME: A Data-Centric Framework for Training-Free Open-Vocabulary SegmentationCode1
Refining music sample identification with a self-supervised graph neural networkCode1
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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