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 10651–10700 of 14297 papers

TitleStatusHype
Neural Search: Learning Query and Product Representations in Fashion E-commerce—0
NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost—0
Neural Signatures for Licence Plate Re-identification—0
Neural Storage: A New Paradigm of Elastic Memory—0
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs—0
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned—0
Neuromorphic Computing for Content-based Image Retrieval—0
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing—0
NeuroPapyri: A Deep Attention Embedding Network for Handwritten Papyri Retrieval—0
NeuroQL: A Neuro-Symbolic Language and Dataset for Inter-Subjective Reasoning—0
NeuroSED: Learning Subgraph Similarity via Graph Neural Networks—0
New Ideas and Trends in Deep Multimodal Content Understanding: A Review—0
New Insights Into Laplacian Similarity Search—0
New Kids on the Block: On the impact of information retrieval on contextual resource integration patterns—0
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application—0
NEWSKVQA: Knowledge-Aware News Video Question Answering—0
Next-item Recommendations in Short Sessions—0
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search—0
N-Gram Nearest Neighbor Machine Translation—0
NIST: An Image Classification Network to Image Semantic Retrieval—0
NL2KB: Resolving Vocabulary Gap between Natural Language and Knowledge Base in Knowledge Base Construction and Retrieval—0
NLIP: Noise-robust Language-Image Pre-training—0
Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5—0
NLM at MEDIQA 2021: Transfer Learning-based Approaches for Consumer Question and Multi-Answer Summarization—0
NLP for The Greek Language: A Longer Survey—0
NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge—0
No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning—0
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation—0
NoEl: An Annotated Corpus for Noun Ellipsis in English—0
No existence of linear algorithm for Fourier phase retrieval—0
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users—0
Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling—0
Noise Facilitation in Associative Memories of Exponential Capacity—0
Noise-resistant Deep Learning for Object Classification in 3D Point Clouds Using a Point Pair Descriptor—0
Noise-robust latent vector reconstruction in ptychography using deep generative models—0
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks—0
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation—0
Noisy Pair Corrector for Dense Retrieval—0
NOMAD: Linguistic Resources and Tools Aimed at Policy Formulation and Validation—0
Non-Compositional Term Dependence for Information Retrieval—0
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization—0
Nonconvex Matrix Factorization from Rank-One Measurements—0
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview—0
Non-Convex Structured Phase Retrieval—0
"None of the Above":Measure Uncertainty in Dialog Response Retrieval—0
``None of the Above'': Measure Uncertainty in Dialog Response Retrieval—0
Non-Inherent Feature Compatible Learning—0
Non-Iterative Phase Retrieval With Cascaded Neural Networks—0
Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests—0
Non-Parametric Adaptation for Neural Machine Translation—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