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 726–750 of 14297 papers

TitleStatusHype
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and RetrievalCode1
The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender SystemsCode1
Doc2Query--: When Less is MoreCode1
Divide&Classify: Fine-Grained Classification for City-Wide Visual Place RecognitionCode1
Accounting for Input Noise in Gaussian Process Parameter RetrievalCode1
Divide&Classify: Fine-Grained Classification for City-Wide Visual Geo-LocalizationCode1
Docopilot: Improving Multimodal Models for Document-Level UnderstandingCode1
Structured Multi-Track Accompaniment Arrangement via Style Prior ModellingCode1
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and IntentsCode1
Boosting Healthcare LLMs Through Retrieved ContextCode1
Boosting vision transformers for image retrievalCode1
Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation ModelsCode1
DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
Boilerplate Removal using a Neural Sequence Labeling ModelCode1
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement SystemCode1
Joint ptycho-tomography with deep generative priorsCode1
BookWorm: A Dataset for Character Description and AnalysisCode1
Dive into Decision Trees and Forests: A Theoretical DemonstrationCode1
BMRetriever: Tuning Large Language Models as Better Biomedical Text RetrieversCode1
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense EmbeddingsCode1
Boosting Co-teaching with Compression Regularization for Label NoiseCode1
Distinctive Image Captioning: Leveraging Ground Truth Captions in CLIP Guided Reinforcement LearningCode1
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image MatchingCode1
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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