Latest Articles for Performance

Learn about quantization and its impact on language models.

Exploring LLMs' struggles with analogical reasoning compared to children and adults.

Contamination in model training can skew results and misrepresent performance.

Researchers propose new strategies for improving deep clustering performance.

We analyze the impact of mTLS on service mesh performance.

Game engines are changing how we visualize complex data.

A new method enhances language model efficiency while maintaining performance.

A method for agents to improve estimates through teamwork and feedback.

Study examines performance of LLMs with long context in retrieval tasks.

New method improves AI efficiency while maintaining performance.

SuperClass simplifies image and text recognition for easier research access.

Optimizing control strategies for stable system performance under varying conditions.

Precision impacts the effectiveness and cost of language model training.

Research highlights how feature learning improves neural network performance effectively.

New architecture enhances speed and accuracy for transformer models in various fields.

This article examines missingness issues in simulation studies and offers practical solutions.

GenJoin learns from hints to improve database query optimization.

This piece examines the varying quality of Wikipedia content in different languages.

A new approach to ORAM enhances data security and efficiency in memory access.

A new approach to tuning robotic controllers makes it faster and cheaper.

Learn how SD-WAN simplifies network management and reduces costs for growing businesses.

Exploring how neural networks mimic human strategic thinking in games.

Learn how quantization helps optimize large language models for everyday use.

A new approach to managing computing resources closer to users.

Learn about the Josephus problem and its connection to strategy games.

ClipFL enhances federated learning by removing noisy devices for better performance.

Bayesian optimization improves dynamic control of large soft robots.

Using smaller models to speed up training for larger language models.

Robots help researchers study how physical touch improves teamwork and performance.

Tree structures improve language model efficiency and organization.

MapSAM revolutionizes how we analyze historical maps efficiently.

SCAN method improves machine learning by using less data efficiently.

Learn how Layer-Adaptive State Pruning improves deep learning models.

A new framework ensures fair performance across all devices in federated learning.

Examining SLAM-ASR's strengths, weaknesses, and future in speech recognition.

A new framework improves speed and memory for machine learning models on edge devices.

AI tools like ChatGPT face energy efficiency challenges that need solutions.

Discover how AI alignment can be achieved with smaller, high-quality datasets.

SoftLM makes language models smaller and faster for everyday use.

Explore the impact of question styles on AI model performance.