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 survey paper proposes a clearer view of natural language reasoning in the field of
Natural Language Processing (NLP), both conceptually and practically. Conceptually, we …

Abstract Generative Pre-trained Transformer (GPT) models have exhibited exciting progress
in their capabilities, capturing the interest of practitioners and the public alike. Yet, while the …

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 …

Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

Artificial writing is permeating our lives due to recent advances in large-scale, transformer-
based language models (LMs) such as BERT, GPT-2 and GPT-3. Using them as pre-trained …

AI systems are becoming increasingly intertwined with human life. In order to effectively
collaborate with humans and ensure safety, AI systems need to be able to understand …

Hate speech has grown significantly on social media, causing serious consequences for
victims of all demographics. Despite much attention being paid to characterize and detect …

Natural language processing (NLP) applications are now more powerful and ubiquitous
than ever before. With rapidly developing (neural) models and ever-more available data …

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 …