Latest Articles for Performance

ACNet improves image quality while maintaining low computational needs for devices.

GraphGPT processes graphs efficiently, outpacing traditional models in various applications.

New framework enhances model performance with quality data.

CXL improves device connections, enhancing memory sharing for better computing.

Advanced methods enhance accuracy and efficiency in handling missing data.

Combining expert feedback with algorithms for better software architecture choices.

Researchers analyze the predictability of language model performance as training compute scales.

FIITED reduces memory usage while maintaining performance in recommendation models.

Learn how safe learning improves SD-WAN load balancing efficiency and safety.

A look into Federated Learning and Unlearning for data privacy.

AdaFed improves fairness in federated learning while maintaining model accuracy.

Quantum memristors enhanced by machine learning can transform memory technology and computing systems.

A new dataset evaluates language models' abilities in advanced math problem solving.

Research shows users prefer single-agent systems for better interaction.

This paper discusses improving energy efficiency in devices using harvested power.

A detailed dataset combining Mozart's sonatas with piano performances and expert annotations.

A study reveals small language models struggle with multiple choice questions.

A new method for updating language models efficiently and accurately.

A new method to assess model accuracy without true labels.

Proxy-tuning simplifies and improves language model adaptation using smaller expert models.

Discover how smoothness can enhance hyper-parameter tuning in software analytics.

Learn how Virtual WANs can enhance connectivity for businesses.

A new algorithm enhances communication speed in high-performance computing.

A new dataset enhances the connection between language and 3D environments.

New methods improve the accuracy of pipelined ADC calibration.

Strategies to enhance QA models when labeled data is scarce.

A new method to improve response times in language models by separating processing phases.

This study assesses the performance of language models on modified math problems.

Introducing a new method for faster network analysis and reconstruction.

A new method to improve decision-making in multi-agent environments.

Momentum-SAM offers an efficient alternative to traditional training methods for neural networks.

Meta prompting improves language model performance through task breakdown and expert collaboration.

This framework enhances how knowledge is combined in machine learning models for better performance.

This article investigates methods to predict the effectiveness of personalized search results.

Learn how to improve transformer model efficiency with GPU-friendly design.

This study examines how language structure boosts layout predictions in machines.

Combining models to improve predictions of disease outbreaks.

This paper examines the effectiveness of AI-generated text versus human-written content.

A new dataset for testing RAG systems on complex multi-hop questions.

New models aim to improve language tech for Brazilian Portuguese speakers.