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 1851–1875 of 14297 papers

TitleStatusHype
Cross Modal Retrieval with Querybank NormalisationCode1
Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary EncodingCode1
A Neural Corpus Indexer for Document RetrievalCode1
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning ObjectiveCode1
Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and MiningCode1
Cross-Modal Retrieval with Partially Mismatched PairsCode1
On Finetuning Tabular Foundation ModelsCode1
CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language PairsCode1
GREED: A Neural Framework for Learning Graph Distance FunctionsCode1
Cross-Modal Retrieval: A Systematic Review of Methods and Future DirectionsCode1
A clinically motivated self-supervised approach for content-based image retrieval of CT liver imagesCode1
Cross-modal Retrieval for Knowledge-based Visual Question AnsweringCode1
A CLIP-Hitchhiker's Guide to Long Video RetrievalCode1
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringCode1
On Sparse Modern Hopfield ModelCode1
On the Evaluation of Commit Message Generation Models: An Experimental StudyCode1
On the Exploration of Incremental Learning for Fine-grained Image RetrievalCode1
On the Importance of Building High-quality Training Datasets for Neural Code SearchCode1
On The Importance of Reasoning for Context Retrieval in Repository-Level Code EditingCode1
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing ModalitiesCode1
Open-Domain Question Answering Goes Conversational via Question RewritingCode1
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image RetrievalCode1
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image RetrievalCode1
Cross-Modal Retrieval for Motion and Text via DopTriple LossCode1
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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