“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...

Abstract: This paper develops an algorithmic solution using Ising machines to solve large-scale higher-order binary optimization (HOBO) problems with inequality constraints for resource optimization ...

Abstract: Graph-structured combinatorial problems in complex networks are prevalent in many domains, and are computationally demanding due to their complexity and non-linear nature. Traditional ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In October 2024, news broke that Facebook parent company Meta had cracked an "impossible" problem ...

Amid sky-high inflation, water and energy cuts and prospects for a deal with the U. S. dimming, President Masoud Pezeshkian has apparently thrown up his hands. By Farnaz Fassihi and Leily Nikounazar ...

Many problems and challenges facing the world — and the city of Santa Fe — are large and seemingly intractable. Imagine the pleasure of a new administration discovering it can fix something ...

Bluetooth is a technology for short-range data transmission that has become so ubiquitous in recent years that we can no longer imagine life without it. This makes it all the more annoying when ...

Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: Large Language Models (LLMs) can help solve logical problems—without ...