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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 3526–3550 of 14297 papers

TitleStatusHype
Towards Robustness of Text-to-Visualization Translation against Lexical and Phrasal Variability—0
Onco-Retriever: Generative Classifier for Retrieval of EHR Records in Oncology—0
Superposition Prompting: Improving and Accelerating Retrieval-Augmented GenerationCode2
Knowledge graphs for empirical concept retrievalCode0
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study—0
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attentionCode4
Quati: A Brazilian Portuguese Information Retrieval Dataset from Native SpeakersCode0
Optimization Methods for Personalizing Large Language Models through Retrieval AugmentationCode2
RAR-b: Reasoning as Retrieval BenchmarkCode1
Event-enhanced Retrieval in Real-time SearchCode0
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
Res-U2Net: Untrained Deep Learning for Phase Retrieval and Image ReconstructionCode0
A Dataset and Framework for Learning State-invariant Object RepresentationsCode0
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform—0
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models—0
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding—0
Retrieval-Augmented Open-Vocabulary Object DetectionCode1
Information Retrieval with Entity Linking—0
Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai LanguageCode0
Single-Server Pliable Private Information Retrieval with Identifiable Side Information—0
HaVTR: Improving Video-Text Retrieval Through Augmentation Using Large Foundation Models—0
Weakly Supervised Deep Hyperspherical Quantization for Image RetrievalCode0
KazQAD: Kazakh Open-Domain Question Answering DatasetCode0
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical TrialsCode0
Soft-Prompting with Graph-of-Thought for Multi-modal Representation LearningCode0
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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