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 9001–9025 of 14297 papers

TitleStatusHype
BdLAN:BERTdoc Label Attention Networks for Multi-label text classification—0
SINA-BERT: A Pre-Trained Language Model for Analysis of Medical Texts in Persian—0
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—0
FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal RetrievalCode0
Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application—0
RetGen: A Joint framework for Retrieval and Grounded Text Generation ModelingCode1
Chord Recognition- Music and Audio Information Retrieval—0
Meta-Inductive Node Classification across Graphs—0
ADMM and Spectral Proximity Operators in Hyperspectral Broadband Phase Retrieval for Quantitative Phase Imaging—0
Open-set Face Recognition for Small Galleries Using Siamese Networks—0
Retrieval-Free Knowledge-Grounded Dialogue Response Generation with AdaptersCode1
Video Corpus Moment Retrieval with Contrastive LearningCode1
Semantic Table Retrieval using Keyword and Table QueriesCode1
Compatibility-aware Heterogeneous Visual Search—0
Dynamical Origin for Winner-Take-All Competition in A Biological Network of The Hippocampal Dentate Gyrus—0
HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge ManagementCode1
Fairness in Information Access Systems—0
A Statistical Model for Melody Reduction—0
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization—0
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces—0
Evaluation of Field-Aware Neural Ranking Models for Recipe Search—0
Semantic Diversity Learning for Zero-Shot Multi-label ClassificationCode1
Priberam at MESINESP Multi-label Classification of Medical Texts TaskCode0
Representation Learning via Global Temporal Alignment and Cycle-ConsistencyCode1
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical propertiesCode0
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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