Latest Articles for Accuracy

Examining the role of randomization in creating fair machine learning systems.

A method to balance accuracy and cost in image classification models.

A new approach improves accuracy in weather predictions by simulating multiple scales.

This study evaluates LLMs' abilities in answering medical questions effectively.

This article presents a novel approach to predicting time series data in finance.

A study assessing performance and accuracy of posit format versus IEEE 754.

M2CVD improves software vulnerability detection through collaborative model approaches.

RE-RAG enhances QA systems using a relevance estimator for better accuracy.

This study investigates the limits of accuracy and robustness in machine learning models.

A new method enhances accuracy in converting informal statements to formal languages.

RetiZero enhances eye disease identification using advanced AI techniques and extensive data.

A new approach to video object segmentation enhances accuracy by limiting memory use.

How organizations can keep AI models relevant and accurate.

A new framework for creating reliable and accurate machine learning classifiers.

This article investigates gender bias in language models used for depression evaluation.

A new method improves machine learning models' accuracy on unseen data.

This study examines how eye fixations change during visual tracking tasks.

A framework for improving accuracy in network measurement while managing resource use.

A new method improves model transparency and trust in critical areas like healthcare.

Exploring methods to create structured tables using large language models.

A new AI model enhances chest X-ray diagnosis for pneumonia and COVID-19.

A look into neural networks, uncertainty, and their impact on AI decision-making.

A novel method enhances data sharing for efficient GNN training.

A framework to assess language models' factual accuracy and reliability.

Efficient methods for identifying drones using convolutional neural networks.

A study highlighting weaknesses in language model evaluators and their impact on text quality assessments.

This article explores how adversaries impact teamwork among language models.

QuickEd improves speed and accuracy in DNA and protein sequence alignment.

Study reveals little link between department expertise and software accuracy.

Exploring how attention sinks impact language model performance and introducing a calibration technique.

Research assesses language models' claim verification abilities using a new dataset.

Visual Overlap Prediction improves image retrieval accuracy and efficiency in complex environments.

Addressing biases in face recognition through balanced training datasets.

Small design changes can boost critical thinking when using language models.

A new loss function, Astral, boosts the performance of physics-informed neural networks.

New drone technology improves counting of endangered animal species.

A study showcases PPG technology for effective real-time blood pressure monitoring.

A study reveals the optimal mix of participants and scan time for accurate brain predictions.

A new model enhances segmentation of retinal images for disease diagnosis.

A new approach to enhance accuracy in verifying information generated by language models.