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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 9826–9850 of 14297 papers

TitleStatusHype
Leveraging Deepfakes to Close the Domain Gap between Real and Synthetic Images in Facial Capture Pipelines—0
Leveraging Deep Learning Techniques on Collaborative Filtering Recommender Systems—0
Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic—0
Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation—0
Leveraging Equivariant Features for Absolute Pose Regression—0
Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction—0
Leveraging Generative Language Models for Weakly Supervised Sentence Component Analysis in Video-Language Joint Learning—0
Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval—0
Leveraging Implicit Spatial Information in Global Features for Image Retrieval—0
Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains—0
Leveraging Knowledge in Multilingual Commonsense Reasoning—0
Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval—0
Leveraging Large Language Models for Medical Information Extraction and Query Generation—0
Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval—0
Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation—0
Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT—0
Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation—0
Leveraging LLM for Automated Ontology Extraction and Knowledge Graph Generation—0
Enabling and Analyzing How to Efficiently Extract Information from Hybrid Long Documents with LLMs—0
Leveraging LLMs for Multimodal Retrieval-Augmented Radiology Report Generation via Key Phrase Extraction—0
Leveraging LLMs for Utility-Focused Annotation: Reducing Manual Effort for Retrieval and RAG—0
Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization—0
Leveraging Medical Literature for Section Prediction in Electronic Health Records—0
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation—0
Leveraging Modality Tags for Enhanced Cross-Modal Video Retrieval—0
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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