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 4201–4250 of 14297 papers

TitleStatusHype
Cross-Modal Retrieval with Implicit Concept Association—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
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
Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning—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 the Effect of Retrieval Augmentation on Social Biases—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
Evaluating Stochastic Rankings with Expected Exposure—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 Temporal Persistence Using Replicability Measures—0
Evaluating the reliability of acoustic speech embeddings—0
Cross-Modality Personalization for Retrieval—0
Enhancing Low-Resource Minority Language Translation with LLMs and Retrieval-Augmented Generation for Cultural Nuances—0
Cross-Modality Binary Code Learning via Fusion Similarity Hashing—0
Autoencoding the Retrieval Relevance of Medical Images—0
Adaptive Semantic-Visual Tree for Hierarchical Embeddings—0
Evaluating Search System Explainability with Psychometrics and Crowdsourcing—0
Cross-modal Image Retrieval with Deep Mutual Information Maximization—0
Cross-Modal Hamming Hashing—0
AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs—0
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics—0
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models—0
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism—0
Author-topic profiles for academic search—0
Cross-Modal Discrete Representation Learning—0
Evaluating Retrieval for Multi-domain Scientific Publications—0
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval—0
Cross-Modal Deep Variational Hashing—0
Authorship Verification - An Approach based on Random Forest—0
Cross-modal Deep Metric Learning with Multi-task Regularization—0
Cross-Modal Coordination Across a Diverse Set of Input Modalities—0
A Multi-task Learning Framework for Product Ranking with BERT—0
Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions—0
Evaluating Sentence-Level Relevance Feedback for High-Recall Information 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