Latest Articles for Accuracy

This study evaluates generative AI's effectiveness in diagnosing compared to physicians.

Adaptive Fair Representation Learning offers fair and accurate recommendations tailored to individual user needs.

A guide to metrics for assessing LLM performance in various fields.

Investigating how tools assist large language models in maintaining knowledge.

A new method for evaluating language models to improve reliability.

Research highlights the importance of fairness in machine learning language representations.

A new method fixes issues in machine learning models without losing accuracy.

TREACLE helps users select the best language models within budget and time limits.

Enhancing QA systems through fine-tuning and reasoning for better finance insights.

A method to reduce bias in existing deep learning models using minimal examples.

This study enhances federated learning by boosting model diversity while protecting privacy.

This method improves DNN performance on edge devices through efficient pruning.

Synthetic data provides cost-effective solutions while ensuring privacy and reducing bias.

New methods improve 3D model efficiency while retaining essential details.

A new method enhances object classification accuracy using multiple representations.

Combining various biological data layers can enhance disease understanding and treatment.

A new method improves SVM training speed and accuracy with large datasets.

Examining how human examples impact machine learning for programming tasks.

A new method aims to enhance truthfulness in language models while maintaining accuracy.

GMS improves medical image segmentation using generative models for better accuracy.

A fresh approach to enhance the quality of generated reports.

A new framework enhances evaluation of federated learning algorithms across diverse applications.

This study evaluates how model size and quantization impact language model performance.

New techniques improve efficiency and accuracy in large language models.

Learn effective strategies for low precision training while maintaining model accuracy.

Exploring reasons behind accuracy issues in synthetic data training and potential improvements.

Investigating positional bias in language models and ways to reduce it.

A novel method improving uncertainty estimation in AI models for edge devices.

Researchers enhance signal detection in noisy environments using Expectation Propagation techniques.

Machine learning offers solutions for accurate seizure detection, improving patient outcomes.

New methods improve tracking skin features for health assessment applications.

Exploring the advancements and challenges in masked face recognition systems.

A study reveals different reading strategies across humans and animals.

Exploring the benefits and challenges of shared variable embeddings in machine learning.

This study examines LLMs for predicting heart disease risks in healthcare.

New method improves documentation of AI models and datasets using advanced language models.

A new method enhances data handling in AI applications, focusing on feature extraction.

A new method enhances ADHD detection using selective EEG channels.

This study examines the accuracy of PPG in blood pressure estimation compared to traditional methods.

A new method enhances fruit maturity classification using hyperspectral imaging technology.