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 6051–6100 of 14297 papers

TitleStatusHype
Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images—0
Deep Hashing for Secure Multimodal Biometrics—0
DeepHash: Getting Regularization, Depth and Fine-Tuning Right—0
Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval—0
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences—0
Deep Graph Matching and Searching for Semantic Code Retrieval—0
Bag-of-Words Baselines for Semantic Code Search—0
Deep Gaussian Processes for geophysical parameter retrieval—0
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion—0
Bag-of-Visual-Words for Signature-Based Multi-Script Document Retrieval—0
A natural language interface to a graph-based bibliographic information retrieval system—0
Deep Fusion of Multi-attentive Local and Global Features with Higher Efficiency for Image Retrieval—0
Deep Frequency Filtering for Domain Generalization—0
Bag of Genres for Video Retrieval—0
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping—0
Bag-of-Features Image Indexing and Classification in Microsoft SQL Server Relational Database—0
An Attention-Based Deep Net for Learning to Rank—0
A deep image retrieval network using Max-m-Min pooling and morphological feature generating residual blocks—0
Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds—0
Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base—0
Deep learning based mood tagging for Chinese song lyrics—0
Deep Features for CBIR with Scarce Data using Hebbian Learning—0
Bag of Attributes for Video Event Retrieval—0
DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations—0
BagFormer: Better Cross-Modal Retrieval via bag-wise interaction—0
An Attentional Neural Conversation Model with Improved Specificity—0
Deep Factorised Inverse-Sketching—0
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning—0
Deep Face Fuzzy Vault: Implementation and Performance—0
DEEPF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals—0
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models—0
Anatomy-Aware Conditional Image-Text Retrieval—0
BADAM: A Public Dataset for Baseline Detection in Arabic-script Manuscripts—0
An Assessment of Language Identification Methods on Tweets and Wikipedia Articles—0
Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations—0
An Architecture for Probabilistic Concept-Based Information Retrieval—0
A Deep Cascade Model for Multi-Document Reading Comprehension—0
Deep Domain Specialisation for single-model multi-domain learning to rank—0
Deep domain adaptation for polyphonic melody extraction—0
Deep DNA Storage: Scalable and Robust DNA Storage via Coding Theory and Deep Learning—0
Deep Discrete Supervised Hashing—0
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion—0
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora—0
Deep Dense Local Feature Matching and Vehicle Removal for Indoor Visual Localization—0
Background Denoising for Ptychography via Wigner Distribution Deconvolution—0
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors—0
Deep Denoising Prior-Based Spectral Estimation for Phaseless Synthetic Aperture Radar—0
Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models—0
Deep Cross-modal Hashing via Margin-dynamic-softmax Loss—0
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval—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