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 9476–9500 of 14297 papers

TitleStatusHype
CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising—0
Codebook based Audio Feature Representation for Music Information Retrieval—0
Code-Craft: Hierarchical Graph-Based Code Summarization for Enhanced Context Retrieval—0
CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation—0
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training—0
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval—0
CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers—0
Code Retrieval for MILP Instance Generation—0
CodeSwift: Accelerating LLM Inference for Efficient Code Generation—0
Code-switched inspired losses for generic spoken dialog representations—0
Code-switched inspired losses for spoken dialog representations—0
Code to Comment "Translation": Data, Metrics, Baselining & Evaluation—0
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
Coding for Random Projections—0
Coding local and global binary visual features extracted from video sequences—0
Co-Embedding: Discovering Communities on Bipartite Graphs through Projection—0
COfEE: A Comprehensive Ontology for Event Extraction from text—0
Cognition and Reality—0
Cognitive-Aligned Document Selection for Retrieval-augmented Generation—0
Cognitive Dynamic Systems: A Technical Review of Cognitive Radar—0
Cognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Debated Topics—0
Cognitively Inspired Components for Social Conversational Agents—0
Cognitive Modeling of Semantic Fluency Using Transformers—0
Cognitive Prompts Using Guilford's Structure of Intellect Model—0
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks—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