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 5876–5900 of 14297 papers

TitleStatusHype
Deep Saliency Hashing—0
An Empirical Study of ADMM for Nonconvex Problems—0
Deep Robust Multilevel Semantic Cross-Modal Hashing—0
Benchmarking Pretrained Vision Embeddings for Near- and Duplicate Detection in Medical Images—0
An Empirical Exploration of Open-Set Recognition via Lightweight Statistical Pipelines—0
A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval—0
Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction—0
Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion—0
From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories—0
What Do Single-view 3D Reconstruction Networks Learn?—0
Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction—0
Deep Retrieval-Based Dialogue Systems: A Short Review—0
Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking—0
Benchmarking Poisoning Attacks against Retrieval-Augmented Generation—0
Deep Retrieval: An End-to-End Structure Model for Large-Scale Recommendations—0
Deep Retrieval: Learning A Retrievable Structure for Large-Scale Recommendations—0
Benchmarking PathCLIP for Pathology Image Analysis—0
An Empirical Comparison of Video Frame Sampling Methods for Multi-Modal RAG Retrieval—0
Deep Residual Hashing—0
DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep Research—0
Deep Representation Learning and Clustering of Traffic Scenarios—0
An Empirical Comparison of LM-based Question and Answer Generation Methods—0
A Deep Reinforcement Learning Chatbot (Short Version)—0
Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles—0
Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing—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