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 1360113650 of 14297 papers

TitleStatusHype
One-Bit MIMO Detection: From Global Maximum-Likelihood Detector to Amplitude Retrieval Approach0
Writer Identification and Writer Retrieval Based on NetVLAD with Re-ranking0
Unsupervised dense retrieval with conterfactual contrastive learning0
Optimal Download Cost of Private Information Retrieval for Arbitrary Message Length0
Unsupervised Detection of Distinctive Regions on 3D Shapes0
Writer Retrieval and Writer Identification in Greek Papyri0
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation0
Unsupervised Domain Adaption for Neural Information Retrieval0
Unsupervised Domain-adaptive Hash for Networks0
Multiple-level Green Noise Mask Design for Practical Fourier Phase Retrieval0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval0
Unsupervised FAQ Retrieval with Question Generation and BERT0
Unsupervised Feature Learning for Writer Identification and Writer Retrieval0
Optimal Algorithms for Stochastic Contextual Preference Bandits0
Optical character recognition quality affects perceived usefulness of historical newspaper clippings0
OPORP: One Permutation + One Random Projection0
Unsupervised Generative Adversarial Cross-modal Hashing0
Unsupervised Graph-based Rank Aggregation for Improved Retrieval0
Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems0
Opinion Retrieval Systems using Tweet-external Factors0
WS4A: a Biomedical Question and Answering System based on public Web Services and Ontologies0
Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics0
Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval0
OPI at SemEval 2023 Task 1: Image-Text Embeddings and Multimodal Information Retrieval for Visual Word Sense Disambiguation0
Unsupervised Law Article Mining based on Deep Pre-Trained Language Representation Models with Application to the Italian Civil Code0
Unsupervised learning for concept detection in medical images: a comparative analysis0
Unsupervised Learning for Surgical Motion by Learning to Predict the Future0
Unsupervised Learning of Discriminative Attributes and Visual Representations0
Unsupervised Learning of Semantic Audio Representations0
Unsupervised Machine Commenting with Neural Variational Topic Model0
Zero-shot Video Moment Retrieval With Off-the-Shelf Models0
Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval0
WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval0
Learning with Succinct Common Representation Based on Wyner's Common Information0
Unsupervised Multimodal Representation Learning across Medical Images and Reports0
Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval0
Unsupervised object discovery for instance recognition0
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining0
Unsupervised Paraphasia Classification in Aphasic Speech0
Operational Assessment of Keyword Search on Oral History0
Unsupervised part learning for visual recognition0
Unsupervised Query Routing for Retrieval Augmented Generation0
Unsupervised Question Clarity Prediction Through Retrieved Item Coherency0
Unsupervised Rank-Preserving Hashing for Large-Scale Image Retrieval0
Self-Supervised Learning of Context-Aware Pitch Prosody Representations0
X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph0
Unsupervised Segmentation of Action Segments in Egocentric Videos using Gaze0
Operational Advice for Dense and Sparse Retrievers: HNSW, Flat, or Inverted Indexes?0
Unsupervised Semantic Deep Hashing0
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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