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 4201–4225 of 14297 papers

TitleStatusHype
Automated Camera Calibration via Homography Estimation with GNNs—0
An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances—0
Neural IR Meets Graph Embedding: A Ranking Model for Product Search—0
Precision-Recall Curves Using Information Divergence Frontiers—0
Cross-Modal Retrieval Augmentation for Multi-Modal Classification—0
Automated Answer Validation using Text Similarity—0
Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation Learning—0
Auto-labelling of Bug Report using Natural Language Processing—0
Adaptive Retrieval-Augmented Generation for Conversational Systems—0
Evaluating Information Retrieval Systems for Kids—0
A New Fine-grained Alignment Method for Image-text Matching—0
An Accuracy-Enhanced Stemming Algorithm for Arabic Information Retrieval—0
Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval—0
Cross-modal Place Recognition in Image Databases using Event-based Sensors—0
Auto-JacoBin: Auto-encoder Jacobian Binary Hashing—0
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies—0
Cross-Modal Manifold Learning for Cross-modal Retrieval—0
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation—0
AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System—0
Cross-Modal Learning via Pairwise Constraints—0
AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue—0
Adaptive Substring Extraction and Modified Local NBNN Scoring for Binary Feature-based Local Mobile Visual Search without False Positives—0
Evaluating Generative Ad Hoc Information Retrieval—0
Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness—0
Cross-Modality Personalization for 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