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 12701–12750 of 14297 papers

TitleStatusHype
Texture image retrieval using DTCWT-SVD and local binary pattern features—0
PersonaAI: Leveraging Retrieval-Augmented Generation and Personalized Context for AI-Driven Digital Avatars—0
Texture Retrieval in the Wild through detection-based attributes—0
Texture retrieval using periodically extended and adaptive curvelets—0
Texture Retrieval via the Scattering Transform—0
Texture Synthesis Guided Deep Hashing for Texture Image Retrieval—0
Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks—0
Persistence-based Structural Recognition—0
Persian Sentiment Analyzer: A Framework based on a Novel Feature Selection Method—0
PersianRAG: A Retrieval-Augmented Generation System for Persian Language—0
Web Search Result Clustering based on Heuristic Search and k-means—0
Per-Sample Kernel Adaptation for Visual Recognition and Grouping—0
The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval—0
The 2019 BBN Cross-lingual Information Retrieval System—0
Permutation Invariant Strategy Using Transformer Encoders for Table Understanding—0
WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain—0
Permissive Information-Flow Analysis for Large Language Models—0
The 7th AI City Challenge—0
The Algebraic Approach to Phase Retrieval and Explicit Inversion at the Identifiability Threshold—0
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering—0
The Anatomy of a Search and Mining System for Digital Archives—0
Web Search Result Clustering based on Cuckoo Search and Consensus Clustering—0
The Anatomy of Relevance: Topical, Snippet and Perceived Relevance in Search Result Evaluation—0
The Answer is at your Fingertips: Improving Passage Retrieval for Web Question Answering with Search Behavior Data—0
PerKey: A Persian News Corpus for Keyphrase Extraction and Generation—0
The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification—0
Performance Prediction for Multi-hop Questions—0
Web Table Extraction, Retrieval and Augmentation: A Survey—0
Bayan Algorithm: Detecting Communities in Networks Through Exact and Approximate Optimization of Modularity—0
The beltway problem over orthogonal groups—0
The Benchmark Lottery—0
The Capacity of Multi-user Private Information Retrieval for Computationally Limited Databases—0
The Capacity of Private Information Retrieval—0
The Capacity of Private Information Retrieval from Uncoded Storage Constrained Databases—0
The Capacity of Symmetric Private Information Retrieval—0
The Challenge of Differentially Private Screening Rules—0
The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches—0
The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval—0
Performance Evaluation of Raster Based Shape Vectors in Object Recognition—0
The Chronicles of RAG: The Retriever, the Chunk and the Generator—0
Online Learning to Rank in Stochastic Click Models—0
The Cognitive Capabilities of Generative AI: A Comparative Analysis with Human Benchmarks—0
The Cross-Lingual Arabic Information REtrieval (CLAIRE) System—0
Performance Evaluation of 3D Correspondence Grouping Algorithms—0
The Curious Robot: Learning Visual Representations via Physical Interactions—0
The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes—0
The DeLiVerMATH project - Text analysis in mathematics—0
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models—0
The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching—0
The Devil is in the Spurious Correlation: Boosting Moment Retrieval via Temporal Dynamic 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