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 60766100 of 14297 papers

TitleStatusHype
An Attentional Neural Conversation Model with Improved Specificity0
Deep Factorised Inverse-Sketching0
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning0
Deep Face Fuzzy Vault: Implementation and Performance0
DEEPF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals0
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models0
Anatomy-Aware Conditional Image-Text Retrieval0
BADAM: A Public Dataset for Baseline Detection in Arabic-script Manuscripts0
An Assessment of Language Identification Methods on Tweets and Wikipedia Articles0
Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations0
An Architecture for Probabilistic Concept-Based Information Retrieval0
A Deep Cascade Model for Multi-Document Reading Comprehension0
Deep Domain Specialisation for single-model multi-domain learning to rank0
Deep domain adaptation for polyphonic melody extraction0
Deep DNA Storage: Scalable and Robust DNA Storage via Coding Theory and Deep Learning0
Deep Discrete Supervised Hashing0
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion0
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora0
Deep Dense Local Feature Matching and Vehicle Removal for Indoor Visual Localization0
Background Denoising for Ptychography via Wigner Distribution Deconvolution0
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors0
Deep Denoising Prior-Based Spectral Estimation for Phaseless Synthetic Aperture Radar0
Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models0
Deep Cross-modal Hashing via Margin-dynamic-softmax Loss0
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval0
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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