Objectives To evaluate the effectiveness of safeguards to prevent large language models
(LLMs) from being misused to generate health disinformation, and to evaluate the …

Large language models (LLMs) have broad medical knowledge and can reason about
medical information across many domains, holding promising potential for diverse medical …

With the rapid growth of interest in and use of large language models (LLMs) across various
industries, we are facing some crucial and profound ethical concerns, especially in the …

Large Language Models (LLMs) have recently gathered attention with the release of
ChatGPT, a user-centered chatbot released by OpenAI. In this perspective article, we retrace …

The capabilities of large language models (LLMs) have been progressing at a breathtaking
speed, leaving even their own developers grappling with the depth of their potential and …

This paper aims to help structure the risk landscape associated with large-scale Language
Models (LMs). In order to foster advances in responsible innovation, an in-depth …

Large language models (LLMs) hold immense promise to serve complex health information
needs but also have the potential to introduce harm and exacerbate health disparities …

Large language models (LLMs) are a type of deep learning model that are trained on vast
amounts of text data with the goal of generating new text that closely resembles human …

Responsible innovation on large-scale Language Models (LMs) requires foresight into and
in-depth understanding of the risks these models may pose. This paper develops a …

Recently, a new paradigm of building general-purpose language models (eg, Google's Bert
and OpenAI's GPT-2) in Natural Language Processing (NLP) for text feature extraction, a …