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

Showing 65516575 of 14297 papers

TitleStatusHype
MiCRO: Multi-interest Candidate Retrieval Online0
Signal Inpainting from Fourier MagnitudesCode0
FedVMR: A New Federated Learning method for Video Moment Retrieval0
Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding0
You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LMCode0
QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation0
Reinforced Question Rewriting for Conversational Question Answering0
MMFL-Net: Multi-scale and Multi-granularity Feature Learning for Cross-domain Fashion Retrieval0
Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings0
Towards Practicality of Sketch-Based Visual Understanding0
Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings0
Convolutive Block-Matching Segmentation Algorithm with Application to Music Structure Analysis0
Learning Joint Representation of Human Motion and Language0
Retrieving Users' Opinions on Social Media with Multimodal Aspect-Based Sentiment AnalysisCode0
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust LearningCode1
Masked Vision-Language Transformer in FashionCode1
3D Shape Knowledge Graph for Cross-domain 3D Shape Retrieval0
LyricJam Sonic: A Generative System for Real-Time Composition and Musical Improvisation0
Retrieval Oriented Masking Pre-training Language Model for Dense Passage RetrievalCode2
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and SelectCode0
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs0
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning0
IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and TextCode1
FairCLIP: Social Bias Elimination based on Attribute Prototype Learning and Representation Neutralization0
NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified