Latest Articles for Performance

A new method improves smaller models for extracting cancer treatment symptoms.

Learn how pruning helps reduce neural network size while maintaining performance.

New model improves liver cirrhosis imaging and segmentation accuracy.

A new system improves guitar tablature creation using deep learning methods.

A new system enhances speech recognition by using contextual keywords for better accuracy.

A novel approach for clustering molecular dynamics data to improve drug design.

A new method to enhance code generation in LLM4Code models.

Introducing a new method for improving federated learning efficiency through tailored submodels.

A new method improves language agents' decision-making through self-reflection.

This study automates diagnosis extraction from unstructured echocardiogram reports to enhance patient care.

A new method improves activation function search for deep learning models.

A new task challenges models to analyze entire video streams for better comprehension.

Combining neural networks with MPC improves efficiency in complex control systems.

Study shows how Passthrough improves VR gaming experience in public spaces.

A study on KAN's effectiveness compared to traditional methods in time series analysis.

A new system combines AI and web searches to detect misinformation more effectively.

A fresh method for assessing AI models through cross-model correlations.

Exploring the potential of Kolmogorov-Arnold Networks in particle physics classification tasks.

Local control in healthcare leads to better services and community involvement.

A new approach enhances agent learning with flexible reward systems.

A new method enhances data accuracy for humanoid robots, boosting their performance.

A new approach to assess LLMs with diverse evaluation sets.

SYMPOL bridges decision-making clarity and effectiveness in reinforcement learning.

This article examines how format bias affects language model performance and suggests improvement strategies.

Examining how humans and machines can collaborate for better decision-making outcomes.

New methods in far-infrared astronomy enhance our understanding of the cosmos.

SelectLLM improves model selection for better responses and lower latency.

A new optimizer shows promise for fine-tuning pretrained models.

A method to enhance weaker models using strong model guidance.

Event cameras improve face and eye tracking accuracy for various applications.

New strategies enhance speed and accuracy in long-read DNA processing.

New test reveals strengths and weaknesses of LLMs in processing long texts across languages.

A study on improving GPU efficiency through targeted optimization techniques.

Researchers use machine learning to create data for particle physics more efficiently.

Learn how Graph Neural Networks improve quantum error correction techniques.

A look into SAM2's performance and challenges in medical image segmentation.

IST-SAT promises faster solutions for complex optimization problems using quantum mechanics.

A new method enhances GAN performance with limited data.

Research assesses how well LLMs generate educational questions for learning.

Explore how randomization enhances algorithm design and performance.