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 10051–10075 of 14297 papers

TitleStatusHype
Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking—0
Making Person Search Enjoy the Merits of Person Re-identification—0
Making question answering more robust through relevant context selection—0
Making Sense of Data in the Wild: Data Analysis Automation at Scale—0
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning—0
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval—0
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning—0
mAnI: Movie Amalgamation using Neural Imitation—0
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment—0
MAP: Microblogging Assisted Profiling of TV Shows—0
Mapping it differently: A solution to the linking challenges—0
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment—0
Mapping Visual Features to Semantic Profiles for Retrieval in Medical Imaging—0
MapQA: Open-domain Geospatial Question Answering on Map Data—0
MARAGE: Transferable Multi-Model Adversarial Attack for Retrieval-Augmented Generation Data Extraction—0
MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning—0
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering—0
mARC: Memory by Association and Reinforcement of Contexts—0
MaRI: Material Retrieval Integration across Domains—0
MarineVRS: Marine Video Retrieval System with Explainability via Semantic Understanding—0
Marking anything: application of point cloud in extracting video target features—0
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction—0
MaRU: A Manga Retrieval and Understanding System Connecting Vision and Language—0
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve—0
Mask-aware Text-to-Image Retrieval: Referring Expression Segmentation Meets Cross-modal 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