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 4351–4375 of 14297 papers

TitleStatusHype
A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation—0
Exoplanet Cartography using Convolutional Neural Networks—0
CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval—0
A Multi-Agent Perspective on Modern Information Retrieval—0
Aud-Sur: An Audio Analyzer Assistant for Audio Surveillance Applications—0
Unsupervised Neural Generative Semantic Hashing—0
Exhaustive and Efficient Constraint Propagation: A Semi-Supervised Learning Perspective and Its Applications—0
AuditNet: A Conversational AI-based Security Assistant [DEMO]—0
CRM: Retrieval Model with Controllable Condition—0
Adaptive Object Retrieval with Kernel Reconstructive Hashing—0
A Categorization of Complexity Classes for Information Retrieval and Synthesis Using Natural Logic—0
ExGes: Expressive Human Motion Retrieval and Modulation for Audio-Driven Gesture Synthesis—0
Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models—0
Audio-Visual Embedding for Cross-Modal MusicVideo Retrieval through Supervised Deep CCA—0
Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Models—0
Amplitude Retrieval for Channel Estimation of MIMO Systems with One-Bit ADCs—0
CREST: Effectively Compacting a Datastore For Retrieval-Based Speculative Decoding—0
Audio-Visual Contrastive Learning with Temporal Self-Supervision—0
Adaptive Nonparametric Image Parsing—0
Audio-text Retrieval in Context—0
CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit—0
CREDENCE: Counterfactual Explanations for Document Ranking—0
A mostly unlexicalized model for recognizing textual entailment—0
Exemplar SVMs as Visual Feature Encoders—0
Creating User Interface Mock-ups from High-Level Text Descriptions with Deep-Learning Models—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