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 9526–9550 of 14297 papers

TitleStatusHype
Large Scale Deep Convolutional Neural Network Features Search with Lucene—0
Large-scale image analysis using docker sandboxing—0
Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents—0
Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces—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
Large-scale phase retrieval—0
Large-Scale Query-by-Image Video Retrieval Using Bloom Filters—0
Large Scale Question Answering using Tourism Data—0
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning—0
Large-scale representation learning from visually grounded untranscribed speech—0
Large-Scale Retrieval for Reinforcement Learning—0
Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks—0
Large-scale Speaker Retrieval on Random Speaker Variability Subspace—0
Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval—0
Large-scale Tag-based Font Retrieval with Generative Feature Learning—0
Large Scale Video Representation Learning via Relational Graph Clustering—0
Vision-Language Models Learn Super Images for Efficient Partially Relevant Video Retrieval—0
Large Scale Visual Food Recognition—0
Large Scale Visual Recommendations From Street Fashion Images—0
Large Search Model: Redefining Search Stack in the Era of LLMs—0
Laser2Vec: Similarity-based Retrieval for Robotic Perception Data—0
LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision—0
LasigeBioTM at MEDIQA 2019: Biomedical Question Answering using Bidirectional Transformers and Named Entity Recognition—0
Late multimodal fusion for image and audio music transcription—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