Latest Articles for Performance

This study examines information extraction capabilities and biases in dense retrievers.

The study reveals disparities in UAD models impacting healthcare fairness.

A new approach enhances training efficiency for modular neural networks.

A new method to study evolving graphs and relationships over time.

Analyzing the effects of reasoning methods on large language models' performance.

Enhancing speech models to better recognize and adapt to different accents.

An adaptive agent improves teamwork in Codenames using multiple language models.

A look into how symptom checkers are assessed for accuracy and safety.

MobiLlama offers efficient language processing for devices with limited resources.

Language agents use graph models to enhance problem-solving abilities and collaboration.

A look at how running records have changed over time.

New dataset enhances computer agents' ability to perform various tasks.

KANDY creates structured tasks to assess AI learning and reasoning abilities.

Optimizing data selection can significantly enhance machine learning training efficiency and performance.

This study examines how pooling data can enhance model fairness across diverse groups.

A dual method for training and using language models efficiently.

A tool designed to improve data science tasks through dynamic planning and error checking.

This study reveals how attention changes when recalling information from memory.

Study shows cannabis negatively affects programming performance and does not boost creativity.

A new model provides clearer explanations for object detection decisions.

COFT-AD improves anomaly detection using limited normal data.

An overview of container usage and challenges in multi-cloud setups.

Research reveals complexities in modeling ectotherm traits based on temperature.

Research shows general regularization methods boost off-policy RL agent performance across tasks.

A method to remove unwanted skills from language models while keeping essential functions intact.

A detailed look at algorithm evaluation and model performance assessment.

Research on cyclic precision training enhances efficiency in deep neural network training.

A fresh approach to combine different models effectively for better performance.

This article explores how paraphrasing improves language model performance in text classification.

Analyzing player and team dynamics in cricket through data.

A review of deep learning's role in predicting software performance configurations.

Exploring how hand-drawn sketches can improve robot task performance.

RENT improves model performance by using resampling techniques with noisy labels.

Study reveals significant data overlap affecting language model evaluations in code generation.

Examining how strategic interactions impact machine learning model performance.

Combining language models enhances performance in various tasks through collaboration.

Examining TileCal's efficiency and calibration during the LHC's high-energy collisions.

ACORN allows for efficient searching of mixed data types, improving performance significantly.

A new method enhances how robots predict human behavior and improve safety.

Introducing a new language for clear and efficient access permissions.