Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks ...

Back in engineering school, I had a professor who used to glory in the misleading assignment. He would ask questions containing elements of dubious relevance to the topic at hand in the hopes that it ...

Large language models (LLMs) can learn complex reasoning tasks without relying on large datasets, according to a new study by researchers at Shanghai Jiao Tong University. Their findings show that ...

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a ...

CAMBRIDGE, MA – For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills. While an accounting firm’s ...

While these potential applications are showing where the tangible value will be in using reasoning models, the reality is that they are still nascent, and we have not seen widespread adoption for a ...

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks. However, CoT still falls short in dealing with complex math word problems, ...

Artificial intelligence may have impressive inferencing powers, but don't count on it to have anything close to human reasoning powers anytime soon. The march to so-called artificial general ...

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...

Meta has introduced a significant advancement in artificial intelligence (AI) with its Large Concept Models (LCMs). Unlike traditional Large Language Models (LLMs), which rely on token-based ...