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 10501–10550 of 14297 papers

TitleStatusHype
DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents—0
DynaGRAG | Exploring the Topology of Information for Advancing Language Understanding and Generation in Graph Retrieval-Augmented Generation—0
Dynamic 3-D measurement based on fringe-to-fringe transformation using deep learning—0
Dynamical Origin for Winner-Take-All Competition in A Biological Network of The Hippocampal Dentate Gyrus—0
Dynamic Boundary Time Warping for Sub-sequence Matching with Few Examples—0
Dynamic Contexts for Generating Suggestion Questions in RAG Based Conversational Systems—0
Dynamic Context Tuning for Retrieval-Augmented Generation: Enhancing Multi-Turn Planning and Tool Adaptation—0
Dynamic Contrastive Distillation for Image-Text Retrieval—0
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction—0
Dynamic Entity Memory Network for Dialogue Relational Triplet Extraction—0
Dynamic Feature Generation Network for Answer Selection—0
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning—0
Dynamic gesture retrieval: searching videos by human pose sequence—0
Dynamic Gradient Reactivation for Backward Compatible Person Re-identification—0
Dynamic Information Retrieval: Theoretical Framework and Application—0
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering—0
Dynamic Metric Learning from Pairwise Comparisons—0
Dynamic Model for Query-Document Expansion towards Improving Retrieval Relevance—0
Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models—0
DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index—0
Dynamic Superblock Pruning for Fast Learned Sparse Retrieval—0
Dynamic Thresholding Mechanisms for IR-Based Filtering in Efficient Source Code Plagiarism Detection—0
Dynamic Token Selection for Aerial-Ground Person Re-Identification—0
Dynamic Uncertainty Learning with Noisy Correspondence for Text-Based Person Search—0
COPR -- Efficient, large-scale log storage and retrieval—0
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification—0
E^2BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network—0
E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generation—0
E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness—0
語音文件檢索使用類神經網路技術 (On the Use of Neural Network Modeling Techniques for Spoken Document Retrieval) [In Chinese]—0
Modularized Transfomer-based Ranking Framework—0
Early Burst Detection for Memory-Efficient Image Retrieval—0
Early Fusion for Goal Directed Robotic Vision—0
Early Fusion Strategy for Entity-Relationship Retrieval—0
Early Stage Sparse Retrieval with Entity Linking—0
Easy Semantification of Bioassays—0
EA-VTR: Event-Aware Video-Text Retrieval—0
EchoSight: Advancing Visual-Language Models with Wiki Knowledge—0
Éclair -- Extracting Content and Layout with Integrated Reading Order for Documents—0
ECLIPSE: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval—0
ECNU at SemEval-2016 Task 3: Exploring Traditional Method and Deep Learning Method for Question Retrieval and Answer Ranking in Community Question Answering—0
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation—0
ECRTime: Ensemble Integration of Classification and Retrieval for Time Series Classification—0
Edge-based LBP description of surfaces with colorimetric patterns—0
EdgeRAG: Online-Indexed RAG for Edge Devices—0
Edit3K: Universal Representation Learning for Video Editing Components—0
Educational-Psychological Dialogue Robot Based on Multi-Agent Collaboration—0
EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping—0
是非題之支持證據檢索 (Supporting Evidence Retrieval for Answering Yes/No Questions) [In Chinese]—0
EEG-Language Modeling for Pathology Detection—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