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 7201–7225 of 14297 papers

TitleStatusHype
Amplitude Retrieval for Channel Estimation of MIMO Systems with One-Bit ADCs—0
Sequential Recommender via Time-aware Attentive Memory Network—0
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation—0
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction—0
Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track—0
Audio-text Retrieval in Context—0
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction—0
Hybrid RAG-empowered Multi-modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-based Contract Approach—0
CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit—0
Hybrid Question Answering over Knowledge Base and Free Text—0
Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection—0
CREDENCE: Counterfactual Explanations for Document Ranking—0
Large scale near-duplicate image retrieval using Triples of Adjacent Ranked Features (TARF) with embedded geometric information—0
Large-Scale Pedestrian Retrieval Competition—0
A mostly unlexicalized model for recognizing textual entailment—0
Adaptive Nonparametric Image Parsing—0
Hybrid-Learning Video Moment Retrieval across Multi-Domain Labels—0
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data—0
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data—0
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning—0
Creating User Interface Mock-ups from High-Level Text Descriptions with Deep-Learning Models—0
Large-Scale Retrieval for Reinforcement Learning—0
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation—0
Large-scale Speaker Retrieval on Random Speaker Variability Subspace—0
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding 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