Latest Articles for Performance

A new approach to improve efficiency and speed in language models.

Studying how quantization affects performance in different languages.

DCoT enhances language model performance through multiple reasoning paths.

A new method to improve model performance on out-of-distribution data.

This study examines how arousal levels influence performance through neurotransmitter activity.

This research examines how visual issues impact Visual Question Answering models.

A new method improves language models' efficiency while reducing costs and environmental impact.

A look into foundation model leaderboards and their evaluation issues.

Examining biases that shape our understanding of AI performance and competence.

A new method enhances reasoning skills of language models through question analysis.

Study shows bright light improves attention in young adults.

The Rashomon Effect reveals multiple effective models in machine learning.

Exploring how neural networks use their learned weights effectively.

This study explores how game elements can engage students in Open Source Software contributions.

A method to enhance model efficiency in machine learning through effective pruning strategies.

A new method enhances LoRA efficiency and performance in training large models.

This paper presents a technique to tackle communication delays in neural networks.

SBoRA improves fine-tuning for large language models, saving resources and enhancing performance.

A study on enhancing decision-making in limited-information chess through neural networks.

This research highlights methods to improve language models by adding new vocabulary effectively.

Larger datastores improve the performance and accuracy of retrieval-based language models.

Interactive segmentation enhances accuracy in placenta imaging for better pregnancy outcomes.

This study examines avatar interaction methods to improve VR experiences.

Introducing Random Subspace Adaptation for efficient language model fine-tuning.

This paper evaluates LLM performance in a Theory of Computing course.

A new method improves audio generation efficiency using innovative attention techniques.

OIDD enhances soft robot design for better adaptability and performance.

An overview of using the Categorical Compact Genetic Algorithm for better optimization.

KVMerger reduces memory use in language models while maintaining performance through effective state merging.

FastSAM-3DSlicer simplifies 3D segmentation in medical images for improved diagnosis.

Examining the efficiency and energy use of Large Language Models in AI applications.

Strategies to enhance user trust during updates of language models.

Study reveals importance of clear instructions for AI in clinical settings.

Sinusoidal Positional Encoding offers improved learning and performance in machine learning tasks.

This article examines how layer changes impact transformer model performance.

Research on acoustic lenses enhances underwater communication and marine monitoring.

MaskMoE improves token learning in MoE models by enhancing infrequent token performance.

Sharing experiences to improve future robotic development.

Explore how self-modeling enhances machine efficiency and teamwork.

Debloating software enhances speed and security by removing unnecessary code.