Large language models have found great success so far by using their transformer architecture to effectively predict the next words (i.e., language tokens) needed to respond to queries. When it comes ...

Here’s what you’ll learn when you read this story: Large language models (LLMs) like ChatGPT show reasoning errors across many domains. Identifying vulnerabilities is good for public safety, industry, ...

This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for ...

In a previous article, we explored the Strong Artificial Intelligence Hypothesis, first presenting a low-level description based on the notion of a neural network (bottom-up framework). In this work, ...

In a new paper that’s making waves, scientists from Stanford, Cal Tech, and Carleton College have combined existing research with new ideas to look at the reasoning failures of large language models ...