We survey a current, heated debate in the artificial intelligence (AI) research community on
whether large pretrained language models can be said to understand language—and the …

We study GPT-3, a recent large language model, using tools from cognitive psychology.
More specifically, we assess GPT-3's decision-making, information search, deliberation, and …

Human communication is increasingly intermixed with language generated by AI. Across
chat, email, and social media, AI systems suggest words, complete sentences, or produce …

Sequence-based prediction of drug–target interactions has the potential to accelerate drug
discovery by complementing experimental screens. Such computational prediction needs to …

There is much excitement about the opportunity to harness the power of large language
models (LLMs) when building problem-solving assistants. However, the standard …

This paper introduces the paradigm of “in-context operator learning” and the corresponding
model “In-Context Operator Networks” to simultaneously learn operators from the prompted …

Glial cells account for between 50% and 90% of all human brain cells, and serve a variety of
important developmental, structural, and metabolic functions. Recent experimental efforts …

Research in both ecology and AI strives for predictive understanding of complex systems,
where nonlinearities arise from multidimensional interactions and feedbacks across multiple …

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 …

Lifelong experiences and learned knowledge lead to shared expectations about how
common situations tend to unfold. Such knowledge of narrative event flow enables people to …