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 82518300 of 14297 papers

TitleStatusHype
Graph-Level Embedding for Time-Evolving Graphs0
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations0
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning0
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender0
Contrastive Learning of 3D Shape Descriptor with Dynamic Adversarial Views0
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens0
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment0
Graph Edit Distance Reward: Learning to Edit Scene Graph0
Contrastive Learning for Interactive Recommendation in Fashion0
A Text-Image Pair Is not Enough: Language-Vision Relation Inference with Auxiliary Modality Translation0
A LoRA is Worth a Thousand Pictures0
Graph Contrastive Learning with Multi-Objective for Personalized Product Retrieval in Taobao Search0
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge0
Contrastive Learning for Cross-modal Artist Retrieval0
Graph-based Retrieval for Claim Verification over Cross-Document Evidence0
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification0
Contrastive Language, Action, and State Pre-training for Robot Learning0
Graph-Based Re-ranking: Emerging Techniques, Limitations, and Opportunities0
Graph based Question Answering System0
Contrastive Feature Masking Open-Vocabulary Vision Transformer0
A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned during the Microchip Design0
A Long-Tail Friendly Representation Framework for Artist and Music Similarity0
A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 20220
Graph-based non-linear least squares optimization for visual place recognition in changing environments0
Graph-based Nearest Neighbor Search in Hyperbolic Spaces0
Contrastive Document Representation Learning with Graph Attention Networks0
Graph-based Multilingual Product Retrieval in E-commerce Search0
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval0
A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification0
Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval0
Graph-based Approximate NN Search: A Revisit0
Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey0
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph0
ATEB: Evaluating and Improving Advanced NLP Tasks for Text Embedding Models0
ALOHA: Empowering Multilingual Agent for University Orientation with Hierarchical Retrieval0
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks0
Granite Embedding Models0
Gram Regularization for Multi-view 3D Shape Retrieval0
Grammatical-Error-Aware Incorrect Example Retrieval System for Learners of Japanese as a Second Language0
Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories0
A Task-Oriented Dialogue Architecture via Transformer Neural Language Models and Symbolic Injection0
GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security0
A logical representation of Arabic questions toward automatic passage extraction from the Web0
Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers0
Grafit: Learning fine-grained image representations with coarse labels0
Continuous Approach to Phase (Norm) Retrieval Frames0
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering0
GradML: A Gradient-based Loss for Deep Metric Learning0
Continuous Active Learning Using Pretrained Transformers0
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase 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