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 7726–7750 of 14297 papers

TitleStatusHype
Towards Building an Open-Domain Dialogue System Incorporated with Internet Memes—0
Where Does the Performance Improvement Come From? -- A Reproducibility Concern about Image-Text RetrievalCode1
Image Search with Text Feedback by Additive Attention Compositional Learning—0
Table Structure Recognition with Conditional Attention—0
Live Laparoscopic Video Retrieval with Compressed Uncertainty—0
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph LatentCode0
Follow the Water: Finding Water, Snow and Clouds on Terrestrial Exoplanets with Photometry and Machine Learning—0
Multi-CPR: A Multi Domain Chinese Dataset for Passage RetrievalCode2
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships—0
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and IntentsCode1
Algebraic theory of phase retrieval—0
RACE: Retrieval-Augmented Commit Message GenerationCode1
OCR quality affects perceived usefulness of historical newspaper clippings -- a user study—0
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in ContextCode1
Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements?—0
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging—0
Object Pose Estimation using Mid-level Visual RepresentationsCode0
Stable and Semi-stable Sampling Approaches for Continuously Used Samples—0
Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch TrainingCode1
Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection—0
Convolutional neural networks as an alternative to Bayesian retrievals—0
LILE: Look In-Depth before Looking Elsewhere -- A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives—0
A Fully Memristive Spiking Neural Network with Unsupervised Learning—0
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue—0
Unsupervised Vision-and-Language Pre-training via Retrieval-based Multi-Granular Alignment—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