AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …

This paper presents a case study on the design, administration, post-processing, and
evaluation of surveys on large language models (LLMs). It comprises two components:(1) A …

Natural language generation has witnessed significant advancements due to the training of
large language models on vast internet-scale datasets. Despite these advancements, there …

Large language models (LLMs) are used to generate content for a wide range of tasks, and
are set to reach a growing audience in coming years due to integration in product interfaces …

A hallmark of human intelligence is the ability to understand and influence other minds.
Humans engage in inferential social learning (ISL) by using commonsense psychology to …

Design biases in NLP systems, such as performance differences for different populations,
often stem from their creator's positionality, ie, views and lived experiences shaped by …

The open-endedness of large language models (LLMs) combined with their impressive
capabilities may lead to new safety issues when being exploited for malicious use. While …

Human values are crucial to human decision-making.\textit {Value pluralism} is the view that
multiple correct values may be held in tension with one another (eg, when considering\textit …

Big models, exemplified by Large Language Models (LLMs), are models typically pre-
trained on massive data and comprised of enormous parameters, which not only obtain …

Language models, especially pre-trained large language models, have showcased
remarkable abilities as few-shot in-context learners (ICL), adept at adapting to new tasks …