Latest Articles for Bias

Introducing a model to improve safety in language generation and reduce risks.

Exploring the role of ethics in language translation technology.

Examining biases in image generation and their societal impacts.

A study on using the MGS dataset to identify AI-generated stereotypes.

New methods improve modeling and predictions in statistics using kernel ridge regression.

This paper discusses how language models learn and evolve through interaction.

This article examines how language models handle pronouns and the implications for identity.

A study focusing on fair and explainable models for substance use disorder treatment predictions.

New methods assess how different groups spread COVID-19 for better public health strategies.

A look at the competition on synthetic datasets for face recognition technology.

Data pruning improves model efficiency while addressing potential bias issues.

A review of datasets focused on enhancing LLM safety.

Exploring diversity and bias in healthcare data research and its impact.

Examining how source data similarity and diversity impact forecasting accuracy.

A new method aims to improve fairness in machine learning without sacrificing performance.

A new tool offers flexible definitions of fairness for machine learning analysis.

A study comparing the safety performance of popular language models.

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

This article examines how query generation affects document retrievability scores.

Research investigates biases in Turkish language models and their societal impacts.

A deep dive into the challenges of estimating pandemic-related deaths.

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

A study examines how instrumental variables can refine propensity score models in drug research.

A new model enhances data fusion and analysis in healthcare.

A look into robust estimation techniques in statistics.

This study examines biases in large language models used in healthcare.

A new method to ensure fairness in machine learning decisions.

Examining the challenges and solutions for fairness in algorithmic decision-making.

Introducing a new method to enhance facial diversity in AI datasets.

Learn how Context Steering enhances language model responses through adaptable context use.

This article examines biases and inconsistencies in LLM evaluations and suggests improvement methods.

SGHateCheck focuses on local languages to tackle online hate speech effectively.

A look into TianQin's efforts to detect gravitational waves and manage satellite stability.

Exploring the need for retrieval systems to understand user perspectives.

This article covers the importance of ethical practices in dataset management for machine learning.

Research enhances methods for extracting frequencies from noisy signals.

This study examines how dialects affect image characteristics in generation models.

This study assesses biases in LLMs impacting healthcare across demographic groups.

This study examines bias in Continual Learning models for medical imaging.

Examining the effects of machine learning systems on human behavior and fairness.