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 5801–5825 of 14297 papers

TitleStatusHype
Evaluating Synthetic Pre-Training for Handwriting Processing TasksCode0
EDeR: A Dataset for Exploring Dependency Relations Between EventsCode0
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval—0
A Simple and Effective Method of Cross-Lingual Plagiarism Detection—0
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine IntentsCode0
Disorder-invariant Implicit Neural Representation—0
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic FusionCode1
ReMoDiffuse: Retrieval-Augmented Motion Diffusion ModelCode2
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield NetworksCode0
An Intrinsic Framework of Information Retrieval Evaluation Measures—0
The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web ArchivesCode1
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets—0
SPAN: Learning Similarity between Scene Graphs and Images with TransformersCode1
CNNs with Multi-Level Attention for Domain Generalization—0
Enhancing Deformable Local Features by Jointly Learning to Detect and Describe KeypointsCode1
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space—0
On the Feasibility and Robustness of Pointwise Evaluation of Query Performance Prediction—0
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval—0
AceCoder: Utilizing Existing Code to Enhance Code Generation—0
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders—0
FCC: Fusing Conversation History and Candidate Provenance for Contextual Response Ranking in Dialogue Systems—0
QUADRo: Dataset and Models for QUestion-Answer Database Retrieval—0
Task Oriented Conversational Modelling With Subjective KnowledgeCode0
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU HardwareCode0
Solving morphological analogies: from retrieval to generationCode0
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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