Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

Chatbots have been studied for more than half a century. With the rapid development of
natural language processing (NLP) technologies in recent years, chatbots using large …

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

We provide experimental evidence of implicit racial bias in a large language model
(specifically ChatGPT 3.5) in the context of an educational task and discuss implications for …

Large language models (LLMs) such as Open AI's GPT-4 (which power ChatGPT) and
Google's Gemini, built on artificial intelligence, hold immense potential to support, augment …

Large language models (LLMs) offer significant potential as tools to support an expanding
range of decision-making tasks. However, given their training on human (created) data …

Large language models (LLMs) offer significant potential as tools to support an expanding
range of decision-making tasks. Given their training on human (created) data, LLMs have …

Despite their impressive performance in a wide range of NLP tasks, Large Language
Models (LLMs) have been reported to encode worrying-levels of gender bias. Prior work has …

The introduction of pre-trained large language models (LLMs) has transformed NLP by fine-
tuning task-specific datasets, enabling notable advancements in news classification …

Although the rise of Large Language Models (LLMs) in enterprise settings brings new
opportunities and capabilities, it also brings challenges, such as the risk of generating …