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 3501–3550 of 14297 papers

TitleStatusHype
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We?—0
Deep Learning Based Image Retrieval in the JPEG Compressed Domain—0
Data Mining of Causal Relations from Text: Analysing Maritime Accident Investigation Reports—0
Semi-Supervised Cross-Modal Retrieval with Label Prediction—0
Deep Learning Based Semantic Video Indexing and Retrieval—0
Deep Learning Classification With Noisy Labels—0
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval—0
Deep Learning for Biomedical Information Retrieval: Learning Textual Relevance from Click Logs—0
Bayesian inference to improve quality of Retrieval Augmented Generation—0
Duration and Interval Hidden Markov Model for Sequential Data Analysis—0
Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives—0
Deep Learning for IoT—0
Deep Learning for MIR Tutorial—0
Deep learning for video game genre classification—0
Deep Learning for Video-Text Retrieval: a Review—0
Deep Learning Initialized Phase Retrieval—0
Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers—0
Deep Learning Relevance: Creating Relevant Information (as Opposed to Retrieving it)—0
Analyzing and Learning from User Interactions for Search Clarification—0
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval—0
Deep Learning to Ternary Hash Codes by Continuation—0
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database—0
Deep Lifelong Cross-modal Hashing—0
Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired Unsupervised Cross-Modal Retrieval—0
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19—0
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering—0
Data Management Challenges for Internet-scale 3D Search Engines—0
Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2.5 estimations, a study on Tehran—0
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments—0
Deep Metric Learning Network using Proxies for Chromosome Classification in Karyotyping Test—0
Deep Metric Learning using Similarities from Nonlinear Rank Approximations—0
Phase-based Minimalist Parsing and complexity in non-local dependencies—0
Deep Metric Learning via Adaptive Learnable Assessment—0
BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval—0
Data leakage in cross-modal retrieval training: A case study—0
Deep Metric Learning with Alternating Projections onto Feasible Sets—0
Beef up mmWave Dense Cellular Networks with D2D-Assisted Cooperative Edge Caching—0
Deep Metric Learning with Hierarchical Triplet Loss—0
Deep Metric Learning with Soft Orthogonal Proxies—0
Deep Metric Multi-View Hashing for Multimedia Retrieval—0
Deep Metric Structured Learning For Facial Expression Recognition—0
Deep Models for Multi-View 3D Object Recognition: A Review—0
Data Infrastructure and Approaches for Ontology-Based Drug Repurposing—0
Automating Legal Concept Interpretation with LLMs: Retrieval, Generation, and Evaluation—0
Deep multi-modal networks for book genre classification based on its cover—0
Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets—0
Deep Multi-View Enhancement Hashing for Image Retrieval—0
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering—0
Automating Horizon Scanning in Future Studies—0
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild—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