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 11351–11400 of 14297 papers

TitleStatusHype
Gradient Augmented Information Retrieval with Autoencoders and Semantic Hashing—0
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval—0
GradML: A Gradient-based Loss for Deep Metric Learning—0
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering—0
Grafit: Learning fine-grained image representations with coarse labels—0
GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security—0
Grammatical-Error-Aware Incorrect Example Retrieval System for Learners of Japanese as a Second Language—0
Gram Regularization for Multi-view 3D Shape Retrieval—0
Granite Embedding Models—0
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks—0
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph—0
Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey—0
Graph-based Approximate NN Search: A Revisit—0
Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval—0
Graph-based Multilingual Product Retrieval in E-commerce Search—0
Graph-based Nearest Neighbor Search in Hyperbolic Spaces—0
Graph-based non-linear least squares optimization for visual place recognition in changing environments—0
Graph based Question Answering System—0
Graph-Based Re-ranking: Emerging Techniques, Limitations, and Opportunities—0
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification—0
Graph-based Retrieval for Claim Verification over Cross-Document Evidence—0
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge—0
Graph Contrastive Learning with Multi-Objective for Personalized Product Retrieval in Taobao Search—0
Graph Edit Distance Reward: Learning to Edit Scene Graph—0
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment—0
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender—0
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning—0
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations—0
Graph-Level Embedding for Time-Evolving Graphs—0
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding—0
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs—0
Graph Neural Networks in Vision-Language Image Understanding: A Survey—0
Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval—0
GraphRAG under Fire—0
Graph Reasoning for Question Answering with Triplet Retrieval—0
Graph Regularized Low Rank Representation for Aerosol Optical Depth Retrieval—0
Graph Regularized Nonnegative Matrix Factorization for Data Representation—0
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions—0
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems—0
Graph-RISE: Graph-Regularized Image Semantic Embedding—0
Graph Similarities and Dual Approach for Sequential Text-to-Image Retrieval—0
Graph Wasserstein Correlation Analysis for Movie Retrieval—0
GRASP: Municipal Budget AI Chatbots for Enhancing Civic Engagement—0
The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection—0
Gridless Chirp Parameter Retrieval via Constrained Two-Dimensional Atomic Norm Minimization—0
GridMind: A Multi-Agent NLP Framework for Unified, Cross-Modal NFL Data Insights—0
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking—0
GRM: Generative Relevance Modeling Using Relevance-Aware Sample Estimation for Document Retrieval—0
GRM: Gradient Rectification Module for Visual Place Retrieval—0
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems—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