What do we want from machine intelligence? We envision machines that are not just tools
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …

Scientific discovery has long been one of the central driving forces in our civilization. It
uncovered the principles of the world we live in, and enabled us to invent new technologies …

We fine-tune large language models to write natural language critiques (natural language
critical comments) using behavioral cloning. On a topic-based summarization task, critiques …

Finding agreement through a free exchange of views is often difficult. Collective deliberation
can be slow, difficult to scale, and unequally attentive to different voices. In this study, we …

This survey presents a comprehensive description of recent neural entity linking (EL)
systems developed since 2015 as a result of the “deep learning revolution” in natural …

Can large language models (LLMs) create tailor-made, convincing arguments to promote
false or misleading narratives online? Early work has found that LLMs can generate content …

As AI systems are used to answer more difficult questions and potentially help create new
knowledge, judging the truthfulness of their outputs becomes more difficult and more …

The emergence of large language models (LLMs) that leverage deep learning and web-
scale corpora has made it possible for artificial intelligence (AI) to tackle many higher-order …

Online polarisation can tear the fabric of civility through reinforcing social media's
perceptions of division and discord. Social media platforms often rely on content-moderation …

Computational argumentation has become an essential tool in various domains, including
law, public policy, and artificial intelligence. It is an emerging research field in natural …