Latest Articles for Model Performance

DeMansia offers an efficient solution for image classification in deep learning.

This study analyzes FEWS and OEWS in enhancing model performance in manufacturing.

This article discusses the Data Addition Dilemma in healthcare machine learning.

Introducing a method that enhances model understanding of long texts.

AutoVCL enhances continual learning strategies in AI to manage task complexities.

This research presents TBL to improve model performance in ultra-imbalanced data scenarios.

A new method enhances model performance by using trained agents for data collection.

A new method enhances sample selection in semi-supervised learning.

A look at deep learning behaviors and their explanations.

A look into verbosity compensation and its impact on language models.

New ECIF method enhances performance of multimodal AI models through better data evaluation.

This article discusses the issues of hallucinations in LVLMs and potential solutions.

A study on the performance of LLMs in software engineering tasks.

Researchers find effective ways to remove unwanted knowledge from language models.

Learn how active partitioning enhances model performance with complex datasets.

Learn how VQMoE improves efficiency and performance in machine learning.

Learn how proxy tasks help researchers forecast AI language capabilities.

This study measures uncertainty in model predictions to detect deceptive design patterns.

Why vision-language models struggle with images more than text.

Learn how federated learning enhances data privacy during AI model training.

Explore how learning rates shape AI training and performance.

Explore how PCEE improves AI models' efficiency without sacrificing accuracy.

A new method merges models to improve safety and performance.