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 5126–5150 of 14297 papers

TitleStatusHype
Risk Controlled Image RetrievalCode0
A scoping review on multimodal deep learning in biomedical images and texts—0
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing—0
Animate-A-Story: Storytelling with Retrieval-Augmented Video GenerationCode2
Image Transformation Sequence Retrieval with General Reinforcement Learning—0
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation—0
MegaWika: Millions of reports and their sources across 50 diverse languages—0
Generating Benchmarks for Factuality Evaluation of Language ModelsCode2
Retrieval Augmented Generation using Engineering Design KnowledgeCode0
Real-time Percussive Technique Recognition and Embedding Learning for the Acoustic Guitar—0
Trainability, Expressivity and Interpretability in Gated Neural ODEsCode0
Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval Augmented Generation Models for Open Book Question-Answering—0
Testing different Log Bases For Vector Model Weighting Technique—0
Reading Radiology Imaging Like The Radiologist—0
OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-LearningCode1
Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain—0
U-CREAT: Unsupervised Case Retrieval using Events extrAcTionCode1
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification—0
On the Effectiveness of Speech Self-supervised Learning for Music—0
mCLIP: Multilingual CLIP via Cross-lingual TransferCode1
Phoneme-retrieval; voice recognition; vowels recognition—0
InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information RetrievalCode2
Graph Contrastive Learning with Multi-Objective for Personalized Product Retrieval in Taobao Search—0
Efficient Match Pair Retrieval for Large-scale UAV Images via Graph Indexed Global Descriptor—0
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning—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