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 6751–6775 of 14297 papers

TitleStatusHype
Image Specificity—0
Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models—0
A Unified Hierarchical Framework for Fine-grained Cross-view Geo-localization over Large-scale Scenarios—0
Inverse Problems, Deep Learning, and Symmetry Breaking—0
Image Similarity Using Sparse Representation and Compression Distance—0
Invertible Tree Embeddings using a Cryptographic Role Embedding Scheme—0
Inverting The Generator Of A Generative Adversarial Network—0
Image Semantic Relation Generation—0
Image Segmentation by Uniform Color Clustering Approach and Benchmark Results—0
Image Search with Text Feedback by Additive Attention Compositional Learning—0
Investigating Cross-Lingual Alignment Methods for Contextualized Embeddings with Token-Level Evaluation—0
Investigating Information Inconsistency in Multilingual Open-Domain Question Answering—0
Investigating Language Preference of Multilingual RAG Systems—0
Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024—0
Investigating Mixture of Experts in Dense Retrieval—0
Investigating non-classical correlations between decision fused multi-modal documents—0
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style—0
Investigating Retrieval Method Selection with Axiomatic Features—0
Cross-Modal 3D Representation with Multi-View Images and Point Clouds—0
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases—0
Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home—0
Accelerating Code Search with Deep Hashing and Code Classification—0
Investigating the efficacy of music version retrieval systems for setlist identification—0
Image Retrieval with Mixed Initiative and Multimodal Feedback—0
Cross-media Similarity Metric Learning with Unified Deep Networks—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