Artificial intelligence programs designed to process and generate text show remarkably high verbal reasoning abilities, but ...

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, ...

‌Concrete thinking is a more literal form of thinking that focuses on the physical world. Concrete thinkers may take information at face value without thinking beyond or generalizing the information ...

Prime numbers are sometimes called math’s “atoms” because they can be divided by only themselves and 1. For two millennia, mathematicians have wondered if the prime numbers are truly random, or if ...

A new study from Arizona State University researchers suggests that the celebrated "Chain-of-Thought" (CoT) reasoning in Large Language Models (LLMs) may be more of a "brittle mirage" than genuine ...

In recent months, the AI industry has started moving toward so-called simulated reasoning models that use a “chain of thought” process to work through tricky problems in multiple logical steps. At the ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Abstract: Large language models (LLMs) have demonstrated great potential across diverse fields. However, their reasoning capabilities face challenges, especially when dealing with complex tasks.