Latest Articles for Diversity

A guide on metrics for assessing human motion generation models.

A new outreach program connects brain injury survivors to healthcare research.

Bacteria and phages engage in a constant struggle for survival, affecting ecosystems.

A new method for creating datasets automatically enhances machine learning efficiency.

A new model offers insights into mixed forests and their growth processes.

This study examines the changing landscape of COVID-19 variants in Norfolk.

DiveR-CT improves automated red teaming for better safety assessments.

Examining how biases affect LLMs in representing complex human personas.

A study reveals the rich HLA genetic diversity in Africa compared to the U.S.

Genie 2 enhances protein design with AI, enabling complex structures and functions.

A study highlights the focus on WEIRD populations in social computing research.

Research sheds light on T cell receptor diversity and its implications for immune responses.

A new approach enhances accuracy and creativity in language model outputs.

Discover how out-of-vocabulary tokens improve recommendation accuracy.

FouRA enhances image generation by improving quality and diversity.

This study explores hybrid rewards in linear contextual bandits for better decision-making.

A new approach to improve safety assessments of AI systems using diverse perspectives.

A new dataset enhances AI's ability to process scientific documents effectively.

New research reveals vast earthworm diversity in French Guiana's rainforests.

A study evaluates how machines create varied and creative poetry compared to humans.

A look at the need for inclusivity in biology education studies.

Ciliates balance reproduction and gene sharing for survival.

This study examines how dams affect bird diversity and habitats.

Fibottention enhances efficiency in machine visual understanding.

RadGrad enhances the college experience for computer science students at the University of Hawaii.

PopAlign aims to reduce bias in text-to-image generation while maintaining quality.

This article reviews a study on reducing biases in multilingual language models.

Exploring diverse fungal communities in Taiwanese forests and their ecological impact.

Advanced methods shed light on grass species diversity through time.

A look into methods and challenges of generating counterfactuals in NLP.

A novel approach enhances example retrieval for large language models.

Analyzing the true effects of post-training methods on language model performance.

New method enhances image generation from limited examples.

This paper discusses using backstories to shape language models for better human response mimicry.

A look into arthropod diversity in two areas of TAMIU.

A new approach improves realism and variety in generated images using deep learning.

A critical look at diversity in datasets and how to improve it.

Examining how environmental shifts impact species populations and community structure.

A new model improves realistic hand grasping for robotics and virtual environments.

A method to enhance understanding of neural network decision-making.