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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 2876–2900 of 14297 papers

TitleStatusHype
Binary Generative Adversarial Networks for Image RetrievalCode0
Less is More: Removing Text-regions Improves CLIP Training Efficiency and RobustnessCode0
Binary Document Image Super Resolution for Improved Readability and OCR PerformanceCode0
An F-shape Click Model for Information Retrieval on Multi-block Mobile PagesCode0
An Extractive-and-Abstractive Framework for Source Code SummarizationCode0
Less is More: Rejecting Unreliable Reviews for Product Question AnsweringCode0
Leveraging Acoustic Images for Effective Self-Supervised Audio Representation LearningCode0
LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic PathologiesCode0
An Exploratory Study on Long Dialogue Summarization: What Works and What’s NextCode0
LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question AnsweringCode0
An Exploratory Study on Long Dialogue Summarization: What Works and What's NextCode0
LeNER-Br: a Dataset for Named Entity Recognition in Brazilian Legal TextCode0
Length is a Curse and a Blessing for Document-level SemanticsCode0
LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval DatasetCode0
Bilingual Lexicon Induction through Unsupervised Machine TranslationCode0
Extractive Explanations for Interpretable Text RankingCode0
Legal Case Document Similarity: You Need Both Network and TextCode0
Bilingual BSARD: Extending Statutory Article Retrieval to DutchCode0
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text miningCode0
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMsCode0
Learning with Average Precision: Training Image Retrieval with a Listwise LossCode0
Learning Without LossCode0
Learning Unseen Modality InteractionCode0
Learning Visual Actions Using Multiple Verb-Only LabelsCode0
A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based InsightsCode0
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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