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 4951–5000 of 14297 papers

TitleStatusHype
A Study on FGSM Adversarial Training for Neural Retrieval—0
A Light Touch Approach to Teaching Transformers Multi-view Geometry—0
From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews—0
Compressible and Searchable: AI-native Multi-Modal Retrieval System with Learned Image Compression—0
A Study on Effect of Reference Knowledge Choice in Generating Technical Content Relevant to SAPPhIRE Model Using Large Language Model—0
Comprehensive Study on Denoising of Medical Images Utilizing Neural Network Based Auto-Encoder—0
Comprehensive Review on Semantic Information Retrieval and Ontology Engineering—0
A Study on Contextualized Language Modeling for FAQ Retrieval—0
Activity Auto-Completion: Predicting Human Activities From Partial Videos—0
From Questions to Insightful Answers: Building an Informed Chatbot for University Resources—0
From RAGs to riches: Using large language models to write documents for clinical trials—0
Comprehensive Feature-based Robust Video Fingerprinting Using Tensor Model—0
Algorithmic Foundations of Empirical X-risk Minimization—0
Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering—0
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling—0
Algebraic theory of phase retrieval—0
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems—0
A study of retrieval algorithms of sparse messages in networks of neural cliques—0
Compound virtual screening by learning-to-rank with gradient boosting decision tree and enrichment-based cumulative gain—0
A Study of PHOC Spatial Region Configurations for Math Formula Retrieval—0
Composition by Conversation—0
Composition-Aware Image Aesthetics Assessment—0
A Study of Neural Matching Models for Cross-lingual IR—0
A learning framework for nearest neighbor search—0
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models—0
A Study of Context Dependencies in Multi-page Product Search—0
A Latent Clothing Attribute Approach for Human Pose Estimation—0
Compositional De-Attention Networks—0
A Study of Association Measures and their Combination for Arabic MWT Extraction—0
From Mapping to Composing: A Two-Stage Framework for Zero-shot Composed Image Retrieval—0
From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems—0
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents—0
From Zero to Hero: How local curvature at artless initial conditions leads away from bad minima—0
Further Theoretical Study of Distribution Separation Method for Information Retrieval—0
A Structure-Aware Method for Direct Pose Estimation—0
Composite Correlation Quantization for Efficient Multimodal Retrieval—0
Composite Code Sparse Autoencoders for first stage retrieval—0
A Late Fusion Framework with Multiple Optimization Methods for Media Interestingness—0
Composing Open-domain Vision with RAG for Ocean Monitoring and Conservation—0
Compose Like Humans: Jointly Improving the Coherence and Novelty for Modern Chinese Poetry Generation—0
A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems—0
Actively Seeking and Learning from Live Data—0
Composed Query Image Retrieval Using Locally Bounded Features—0
A stochastic alternating minimizing method for sparse phase retrieval—0
AsthmaBot: Multi-modal, Multi-Lingual Retrieval Augmented Generation For Asthma Patient Support—0
Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning—0
A STEP towards Interpretable Multi-Hop Reasoning:Bridge Phrase Identification and Query Expansion—0
ABC: Achieving Better Control of Multimodal Embeddings using VLMs—0
Knowing When to Ask -- Bridging Large Language Models and Data—0
From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs—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