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 4701–4725 of 14297 papers

TitleStatusHype
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment AnalysisCode0
Estimated Audio-Caption Correspondences Improve Language-Based Audio RetrievalCode0
Hashing as Tie-Aware Learning to RankCode0
Hashing with Mutual InformationCode0
Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publicationsCode0
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption RetrievalCode0
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge GapsCode0
Harnessing High-Level Song Descriptors towards Natural Language-Based Music RecommendationCode0
Hash Function Learning via CodewordsCode0
3D Shape Sequence of Human Comparison and Classification using Current and VarifoldsCode0
HashNet: Deep Learning to Hash by ContinuationCode0
HeroNet: A Hybrid Retrieval-Generation Network for Conversational BotsCode0
Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case DistinctionsCode0
Error-Robust Retrieval for Chinese Spelling CheckCode0
Embedded Named Entity Recognition using Probing ClassifiersCode0
Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly PublicationsCode0
Harmonized Multimodal Learning with Gaussian Process Latent Variable ModelsCode0
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity LearningCode0
Harnessing Abstractive Summarization for Fact-Checked Claim DetectionCode0
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural NetworksCode0
Handling Massive N-Gram Datasets EfficientlyCode0
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language ModelsCode0
Case-Based Reasoning with Language Models for Classification of Logical FallaciesCode0
HaluEval-Wild: Evaluating Hallucinations of Language Models in the WildCode0
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource LanguagesCode0
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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