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 7751–7775 of 14297 papers

TitleStatusHype
Semantic Sentence Composition Reasoning for Multi-Hop Question Answering—0
Results Merging in the Patent Domain—0
VScript: Controllable Script Generation with Visual Presentation—0
DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index—0
PMC-Patients: A Large-scale Dataset of Patient Summaries and Relations for Benchmarking Retrieval-based Clinical Decision Support SystemsCode1
Multi-modal Alignment using Representation Codebook—0
Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question AnsweringCode1
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity LinkingCode1
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep LearningCode1
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote SensingCode0
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during TrainingCode1
Faithful learning with sure data for lung nodule diagnosis—0
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval—0
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable ConvergenceCode0
Finding Inverse Document Frequency Information in BERT—0
The Linear Capacity of Single-Server Individually-Private Information Retrieval with Side Information—0
Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching—0
TARexp: A Python Framework for Technology-Assisted Review ExperimentsCode1
A Novel Self-Supervised Cross-Modal Image Retrieval Method In Remote Sensing—0
Query Expansion and Entity Weighting for Query Reformulation Retrieval in Voice Assistant Systems—0
Retrieval Augmented Classification for Long-Tail Visual Recognition—0
VU-BERT: A Unified framework for Visual Dialog—0
Vision-Language Pre-Training with Triple Contrastive LearningCode2
MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution ImageryCode1
TURNER: The Uncertainty-based Retrieval Framework for Chinese NER—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