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 2501–2525 of 14297 papers

TitleStatusHype
On the Comparison of Classic and Deep Keypoint Detector and Descriptor MethodsCode1
On the Evaluation of Commit Message Generation Models: An Experimental StudyCode1
3D-CSL: self-supervised 3D context similarity learning for Near-Duplicate Video RetrievalCode1
On The Importance of Reasoning for Context Retrieval in Repository-Level Code EditingCode1
Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image RetrievalCode1
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage RetrievalCode1
Open-CyKG: An Open Cyber Threat Intelligence Knowledge GraphCode1
Open-Domain Question Answering Goes Conversational via Question RewritingCode1
CompAct: Compressing Retrieved Documents Actively for Question AnsweringCode1
Co-Attention Aligned Mutual Cross-Attention for Cloth-Changing Person Re-IdentificationCode1
Large-Scale Adversarial Training for Vision-and-Language Representation LearningCode1
Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-AttentionCode1
Learning Attribute-Driven Disentangled Representations for Interactive Fashion RetrievalCode1
Dual-branch Hybrid Learning Network for Unbiased Scene Graph GenerationCode1
BTR: Binary Token Representations for Efficient Retrieval Augmented Language ModelsCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents IntegrationCode1
Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video RetrievalCode1
Dual Operating Modes of In-Context LearningCode1
Combination of Multiple Global Descriptors for Image RetrievalCode1
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust LearningCode1
OpenTab: Advancing Large Language Models as Open-domain Table ReasonersCode1
Large Language Models are Built-in Autoregressive Search EnginesCode1
CODEC: Complex Document and Entity CollectionCode1
Towards Completeness-Oriented Tool Retrieval for Large Language ModelsCode1
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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