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 8201–8250 of 14297 papers

TitleStatusHype
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems—0
Controllable Augmentations for Video Representation Learning—0
GRM: Gradient Rectification Module for Visual Place Retrieval—0
GRM: Generative Relevance Modeling Using Relevance-Aware Sample Estimation for Document Retrieval—0
Control Architecture of the Double-Cross-Correlation Processor for Sampling-Rate-Offset Estimation in Acoustic Sensor Networks—0
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking—0
GridMind: A Multi-Agent NLP Framework for Unified, Cross-Modal NFL Data Insights—0
Gridless Chirp Parameter Retrieval via Constrained Two-Dimensional Atomic Norm Minimization—0
Contri(e)ve: Context + Retrieve for Scholarly Question Answering—0
Contributions to the Improvement of Question Answering Systems in the Biomedical Domain—0
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval—0
Contribution au Niveau de l'Approche Indirecte à Base de Transfert dans la Traduction Automatique—0
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation—0
ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science—0
Contrato360 2.0: A Document and Database-Driven Question-Answer System using Large Language Models and Agents—0
The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection—0
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering—0
Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval—0
GRASP: Municipal Budget AI Chatbots for Enhancing Civic Engagement—0
Contrastive Video-Language Learning with Fine-grained Frame Sampling—0
Graph Wasserstein Correlation Analysis for Movie Retrieval—0
A Thorough Examination on Zero-shot Dense Retrieval—0
Graph Similarities and Dual Approach for Sequential Text-to-Image Retrieval—0
Graph-RISE: Graph-Regularized Image Semantic Embedding—0
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems—0
A theory of sequence indexing and working memory in recurrent neural networks—0
Alternating Co-Quantization for Cross-Modal Hashing—0
Adaptive Asymmetric Label-guided Hashing for Multimedia Search—0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks—0
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions—0
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation—0
Graph Regularized Nonnegative Matrix Factorization for Data Representation—0
Graph Regularized Low Rank Representation for Aerosol Optical Depth Retrieval—0
Contrastive Pre-training for Zero-Shot Information Retrieval—0
A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice—0
Graph Reasoning for Question Answering with Triplet Retrieval—0
GraphRAG under Fire—0
Contrastive masked auto-encoders based self-supervised hashing for 2D image and 3D point cloud cross-modal retrieval—0
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning—0
ALR^2: A Retrieve-then-Reason Framework for Long-context Question Answering—0
Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval—0
Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models—0
Graph Neural Networks in Vision-Language Image Understanding: A Survey—0
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs—0
Contrastive Learning to Improve Retrieval for Real-world Fact Checking—0
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding—0
Contrastive Learning of Visual-Semantic Embeddings—0
Athena: Constructing Dialogues Dynamically with Discourse Constraints—0
Adaptive additive classification-based loss for deep metric learning—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