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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 576–600 of 14297 papers

TitleStatusHype
Disentangling Memory and Reasoning Ability in Large Language ModelsCode2
Diffusion Posterior Sampling for General Noisy Inverse ProblemsCode2
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningCode2
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsCode2
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
In-Context Retrieval-Augmented Language ModelsCode2
InPars: Data Augmentation for Information Retrieval using Large Language ModelsCode2
Distillation Enhanced Generative RetrievalCode2
All You Need to Know About Training Image Retrieval ModelsCode2
Detect-Order-Construct: A Tree Construction based Approach for Hierarchical Document Structure AnalysisCode2
Autoregressive Search Engines: Generating Substrings as Document IdentifiersCode2
Interactive Continual Learning: Fast and Slow ThinkingCode2
Demystifying and Enhancing the Efficiency of Large Language Model Based Search AgentsCode2
Dense Text Retrieval based on Pretrained Language Models: A SurveyCode2
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmarkCode2
DiffCLIP: Differential Attention Meets CLIPCode2
Efficient Remote Sensing with Harmonized Transfer Learning and Modality AlignmentCode2
BEBLID: Boosted efficient binary local image descriptorCode2
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsCode2
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question AnsweringCode2
LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge GraphsCode2
Deep Hashing Network for Unsupervised Domain AdaptationCode1
Deep Evidential Learning with Noisy Correspondence for Cross-Modal RetrievalCode1
Deep metric learning using Triplet networkCode1
Deeper Convolutional Neural Networks and Broad Augmentation Policies Improve Performance in Musical Key EstimationCode1
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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