This survey article proposes a clearer view of Natural Language Reasoning (NLR) in the
field of Natural Language Processing (NLP), both conceptually and practically …

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 …

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 …

Language models (LMs) are pretrained on diverse data sources, including news, discussion
forums, books, and online encyclopedias. A significant portion of this data includes opinions …

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 …

Language models (LMs) have recently shown remarkable performance on reasoning tasks
by explicitly generating intermediate inferences, eg, chain-of-thought prompting. However …

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 …

Human commonsense understanding of the physical and social world is organized around
intuitive theories. These theories support making causal and moral judgments. When …

With the rapid development of Large Language Models (LLMs), increasing attention has
been paid to their safety concerns. Consequently, evaluating the safety of LLMs has become …

Conversational agents have come increasingly closer to human competence in open-
domain dialogue settings; however, such models can reflect insensitive, hurtful, or entirely …