Generative AI didn’t create academic dishonesty, weak assessment design, or grade inflation. What it did do is make those problems ...

Abstract: The importance of visual abstract reasoning problems in the field of image processing cannot be overstated. Both Bongard-Logo problems and Raven’s progressive matrices (RPM) belong to the ...

Among other things, launching AIModels.fyi ... Find the right AI model for your project - https://aimodels.fyi ...

According to @godofprompt on Twitter, Tree of Thoughts (ToT) is an advanced AI reasoning method that allows models to explore multiple problem-solving paths simultaneously, rather than following a ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

Recently, Artificial Intelligence (AI) has reached a historic milestone in one of the world’s toughest math contests, the International Mathematical Olympiad (IMO). Google DeepMind’s Gemini Deep Think ...

This paper introduces RegexPSPACE, a new benchmark of PSPACE-complete regex problems, to show that even state-of-the-art LLMs struggle with tasks requiring complex reasoning, thus revealing their ...

Long-running LLM agents equipped with strong reasoning, planning, and execution skills have the potential to transform scientific discovery with high-impact advancements, such as developing new ...

Large language models (LLMs) are increasingly capable of complex reasoning through “inference-time scaling,” a set of techniques that allocate more computational resources during inference to generate ...

Recent research indicates that LLMs, particularly smaller ones, frequently struggle with robust reasoning. They tend to perform well on familiar questions but falter when those same problems are ...