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 10001–10050 of 14297 papers

TitleStatusHype
Low-Level Features for Image Retrieval Based on Extraction of Directional Binary Patterns and Its Oriented Gradients Histogram—0
Low Photon Budget Phase Retrieval with Perceptual Loss Trained Deep Neural Networks—0
Low Photon Count Phase Retrieval Using Deep Learning—0
Low-Precision Quantization for Efficient Nearest Neighbor Search—0
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence—0
Low-Rank Phase Retrieval via Variational Bayesian Learning—0
Low-Rank Phase Retrieval with Structured Tensor Models—0
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey—0
LPar -- A Distributed Multi Agent platform for building Polyglot, Omni Channel and Industrial grade Natural Language Interfaces—0
LProtector: An LLM-driven Vulnerability Detection System—0
LRG at TREC 2020: Document Ranking with XLNet-Based Models—0
LRSE: A Lightweight Efficient Searchable Encryption Scheme using Local and Global Representations—0
LSC-ADL: An Activity of Daily Living (ADL)-Annotated Lifelog Dataset Generated via Semi-Automatic Clustering—0
LSTM-Based Predictions for Proactive Information Retrieval—0
LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval—0
Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval—0
Lukthung Classification Using Neural Networks on Lyrics and Audios—0
Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost—0
LUNDRY MANAGEMENT SYSTEM PROJECT REPORT—0
LUT-GCE: Lookup Table Global Curve Estimation for Fast Low-light Image Enhancement—0
LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents—0
LWFNet: Coherent Doppler Wind Lidar-Based Network for Wind Field Retrieval—0
Lynx: An Open Source Hallucination Evaluation Model—0
LyricJam Sonic: A Generative System for Real-Time Composition and Musical Improvisation—0
M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding—0
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems—0
Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents—0
Machine Learning Approaches for Amharic Parts-of-speech Tagging—0
Machine learning approach for text and document mining—0
Machine Learning, Clustering, and Polymorphy—0
Machine Learning for Food Review and Recommendation—0
Machine Learning Information Retrieval and Summarisation to Support Systematic Review on Outcomes Based Contracting—0
Machine learning methods for multimedia information retrieval—0
Machine Learning with World Knowledge: The Position and Survey—0
Machine Psychology—0
Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots—0
Machine Translation and Automated Analysis of the Sumerian Language—0
Machine Translation Impact in E-commerce Multilingual Search—0
Machining feature recognition using descriptors with range constraints for mechanical 3D models—0
LLM-Consensus: Multi-Agent Debate for Visual Misinformation Detection—0
Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning—0
Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems—0
MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed—0
Magnushammer: A Transformer-Based Approach to Premise Selection—0
Maia: A Real-time Non-Verbal Chat for Human-AI Interaction—0
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation—0
MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search—0
Making Better Use of Edges via Perceptual Grouping—0
Making Information Seeking Easier: An Improved Pipeline for Conversational Search—0
Making Large Language Models A Better Foundation For Dense Retrieval—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