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 10201–10225 of 14297 papers

TitleStatusHype
Describing emotions with acoustic property prompts for speech emotion recognition—0
Engineering Deep Representations for Modeling Aesthetic Perception—0
Descriminative-Generative Custom Tokens for Vision-Language Models—0
Description Logics based Formalization of Wh-Queries—0
Descriptive analysis of computational methods for automating mammograms with practical applications—0
Descriptor transition tables for object retrieval using unconstrained cluttered video acquired using a consumer level handheld mobile device—0
Design and evaluation of AI copilots -- case studies of retail copilot templates—0
Design and Evaluation of Camera-Centric Mobile Crowdsourcing Applications—0
Designing an Evaluation Framework for Spoken Term Detection and Spoken Document Retrieval at the NTCIR-9 SpokenDoc Task—0
Designing Interfaces for Multimodal Vector Search Applications—0
A Density Evolution framework for Preferential Recovery of Covariance and Causal Graphs from Compressed Measurements—0
Designovel's system description for Fashion-IQ challenge 2019—0
Design Patterns for Fusion-Based Object Retrieval—0
Design Theory to improve health evidence retrieval—0
Senatus -- A Fast and Accurate Code-to-Code Recommendation Engine—0
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding—0
Detailed Investigation of Deep Features with Sparse Representation and Dimensionality Reduction in CBIR: A Comparative Study—0
DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval—0
DETECLAP: Enhancing Audio-Visual Representation Learning with Object Information—0
Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation—0
D\'etecter la non-adh\'erence m\'edicamenteuse dans les forums de discussion avec les m\'ethodes de recherche d'information (Detect drug non-compliance in Internet fora using Information Retrieval methods )—0
Detecting and Aligning Faces by Image Retrieval—0
Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology—0
Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval—0
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics—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