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 2301–2325 of 14297 papers

TitleStatusHype
A Data-Centric Framework for Composable NLP WorkflowsCode1
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial QueryCode1
A matrix-free Levenberg-Marquardt algorithm for efficient ptychographic phase retrievalCode1
A Straightforward Framework For Video Retrieval Using CLIPCode1
Linear Transformers Are Secretly Fast Weight ProgrammersCode1
Hierarchical Attention Fusion for Geo-LocalizationCode1
Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak DecoderCode1
Open-Retrieval Conversational Machine ReadingCode1
Learning Intra-Batch Connections for Deep Metric LearningCode1
NeuralNDCG: Direct Optimisation of a Ranking Metric via Differentiable Relaxation of SortingCode1
Overview of the TREC 2020 deep learning trackCode1
PAQ: 65 Million Probably-Asked Questions and What You Can Do With ThemCode1
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency BenefitsCode1
Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 DataCode1
Less is More: ClipBERT for Video-and-Language Learning via Sparse SamplingCode1
Training Vision Transformers for Image RetrievalCode1
VINS: Visual Search for Mobile User Interface DesignCode1
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is EnoughCode1
Multi-level Distance Regularization for Deep Metric LearningCode1
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation DataCode1
OpenMatch: An Open Source Library for Neu-IR ResearchCode1
Deep Triplet Hashing Network for Case-based Medical Image RetrievalCode1
A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor SearchCode1
Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning MethodCode1
Rethink Training of BERT Rerankers in Multi-Stage Retrieval PipelineCode1
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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