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 3251–3300 of 14297 papers

TitleStatusHype
Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval—0
An Axiomatic Approach to Regularizing Neural Ranking Models—0
Accurate and Fast Pixel Retrieval with Spatial and Uncertainty Aware Hypergraph Diffusion—0
Balancing Content Size in RAG-Text2SQL System—0
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning—0
A Deep Investigation of Deep IR Models—0
Deep learning based mood tagging for Chinese song lyrics—0
Discrete Infomax Codes for Supervised Representation Learning—0
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences—0
Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications—0
Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds—0
Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval—0
A deep image retrieval network using Max-m-Min pooling and morphological feature generating residual blocks—0
Bag-of-Words Baselines for Semantic Code Search—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
Bag of Genres for Video Retrieval—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
Discrete Latent Factor Model for Cross-Modal Hashing—0
Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation—0
Bag of Attributes for Video Event Retrieval—0
BagFormer: Better Cross-Modal Retrieval via bag-wise interaction—0
An Attentional Neural Conversation Model with Improved Specificity—0
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models—0
Anatomy-Aware Conditional Image-Text Retrieval—0
A Deep Cascade Model for Multi-Document Reading Comprehension—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
An Architecture for Probabilistic Concept-Based Information Retrieval—0
Discovering Latent Concepts and Exploiting Ontological Features for Semantic Text Search—0
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion—0
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors—0
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora—0
Background Denoising for Ptychography via Wigner Distribution Deconvolution—0
A Deep Autoencoder System for Differentiation of Cancer Types Based on DNA Methylation State—0
Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models—0
An Approach For Transforming of Relational Databases to OWL Ontology—0
An approach based on Combination of Features for automatic news retrieval—0
Accuracy of the Uzbek stop words detection: a case study on "School corpus"—0
Discovering Entities with Just a Little Help from You—0
Discovering Latent Information By Spreading Activation Algorithm For Document Retrieval—0
Massively Multilingual Lexical Specialization of Multilingual Transformers—0
An Application of Manifold Learning in Global Shape Descriptors—0
A Zero-Shot Framework for Sketch based Image Retrieval—0
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models—0
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data—0
A Zero Attention Model for Personalized Product Search—0
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval—0
An analysis of vision-language models for fabric 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