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 7676–7700 of 14297 papers

TitleStatusHype
Leveraging a Bilingual Dictionary to Learn Wolastoqey Word Representations—0
DIRA: Dialectal Arabic Information Retrieval Assistant—0
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval—0
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods—0
A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science—0
Leveraging Auxiliary Information in Text-to-Video Retrieval: A Review—0
dIR -- Discrete Information Retrieval: Conversational Search over Unstructured (and Structured) Data with Large Language Models—0
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability—0
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning—0
Leveraging Cognitive Search Patterns to Enhance Automated Natural Language Retrieval Performance—0
Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification—0
Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval—0
Leveraging Cutting Edge Deep Learning Based Image Matching for Reconstructing a Large Scene from Sparse Images—0
Leveraging Data Resources for Cross-Linguistic Information Retrieval Using Statistical Machine Translation—0
Leveraging Decoder Architectures for Learned Sparse Retrieval—0
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
Evaluating the Retrieval Component in LLM-Based Question Answering Systems—0
Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation—0
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction—0
Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction—0
Evaluating the reliability of acoustic speech embeddings—0
3PointTM: Faster Measurement of High-Dimensional Transmission Matrices—0
Lorentzian Distance Learning—0
Lost in Transliteration: Bridging the Script Gap in Neural IR—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