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 …
H Gweon, J Fan, B Kim - Philosophical Transactions of …, 2023 - royalsocietypublishing.org
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 …
J Wen, P Ke, H Sun, Z Zhang, C Li, J Bai… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …
X Xu, Y Liu, P Pasupat, M Kazemi - arXiv preprint arXiv:2401.11624, 2024 - arxiv.org
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 …