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 7551–7600 of 14297 papers

TitleStatusHype
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification—0
Learning to Rank by Optimizing NDCG Measure—0
Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval—0
Learning to Rank for Active Learning: A Listwise Approach—0
A method to Suppress Facial Expression in Posed and Spontaneous Videos—0
Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization—0
Adaptive Hashing for Fast Similarity Search—0
Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking—0
Hot-Refresh Model Upgrades with Regression-Free Compatible Training in Image Retrieval—0
Learning to Rank Semantic Coherence for Topic Segmentation—0
Hotel Recognition via Latent Image Embedding—0
Learning to Rank with Small Set of Ground Truth Data—0
HORUS: Multimodal Large Language Models Framework for Video Retrieval at VBS 2025—0
Horizon Scans can be accelerated using novel information retrieval and artificial intelligence tools—0
Learning to Recognise Words using Visually Grounded Speech—0
Learning to Reformulate the Queries on the WEB—0
CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging—0
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions—0
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation—0
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer—0
Hopfield model with planted patterns: a teacher-student self-supervised learning model—0
Learning to Retrieve for Job Matching—0
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization—0
Learning to Retrieve Iteratively for In-Context Learning—0
Learning to retrieve out-of-vocabulary words in speech recognition—0
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification—0
A Method to Disambiguate a Word by Using Restricted Boltzmann Machine—0
Homomorphic Sensing of Subspace Arrangements—0
Co-Saliency Detection via Looking Deep and Wide—0
Learning to Scale Multilingual Representations for Vision-Language Tasks—0
Homography augumented momentum constrastive learning for SAR image retrieval—0
Learning to Select In-Context Demonstration Preferred by Large Language Model—0
Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging—0
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching—0
Learning to Sketch Human Facial Portraits using Personal Styles by Case-Based Reasoning—0
Learning to Sketch with Shortcut Cycle Consistency—0
Attribute Manipulation Generative Adversarial Networks for Fashion Images—0
Holographic Factorization Machines for Recommendation—0
HoloGen: An open source toolbox for high-speed hologram generation—0
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration—0
Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability—0
Learning to Truncate Ranked Lists for Information Retrieval—0
A Method of Passage-Based Document Retrieval in Question Answering System—0
Learning to Weight Translations using Ordinal Linear Regression and Query-generated Training Data for Ad-hoc Retrieval with Long Queries—0
Adaptive Graph via Multiple Kernel Learning for Nonnegative Matrix Factorization—0
Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval—0
Learning Translation Models from Monolingual Continuous Representations—0
Learning Image Representations for Content Based Image Retrieval of Radiotherapy Treatment Plans—0
Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval—0
Holmes: Automated Fact Check with Large Language Models—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