Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large
language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine …

To recognize and mitigate harms from large language models (LLMs), we need to
understand the prevalence and nuances of stereotypes in LLM outputs. Toward this end, we …

Humans increasingly rely on artificial intelligence (AI) for efficient and objective decision-
making, yet there is increasing concern that algorithms used by modern AI systems produce …

As generative large language models (LLMs) grow more performant and prevalent, we must
develop comprehensive enough tools to measure and improve their fairness. Different …

Recent work has aimed to capture nuances of human behavior by using LLMs to simulate
responses from particular demographics in settings like social science experiments and …

Each year, people spend less time reading and more time viewing images, which are
proliferating online,–. Images from platforms such as Google and Wikipedia are downloaded …

Technological advances in the assessment and understanding of speech and language
within the domains of automatic speech recognition, natural language processing, and …

Preventing relapse in schizophrenia improves long-term health outcomes. Repeated
episodes of psychotic symptoms shape the trajectory of this illness and can be a detriment to …

Critical scholarship has elevated the problem of gender bias in data sets used to train virtual
assistants (VAs). Most work has focused on explicit biases in language, especially against …