Apple’s researchers interpreted this as a sign that the models were abandoning problem-solving altogether once the tasks became too hard, essentially “giving up.” ...

Promotes structured thinking Analysis of reasoning traces reveals that RPT-14B employs more hypothesis generation, deduction, and reflective patterns compared to traditional problem-solving models, ...

Discover how reasoning models function with increased computation, and their challenges with problem complexity in this study.

This variability may be influenced by the participants’ specific experiences and contexts, aligning with problem-solving models. Regarding the internal structure of the scale, exploratory factor ...

Explore NVIDIA's breakthroughs in AI reasoning models, token inference, and scalability challenges with the Neotron family.

This study investigates the potential of Large Language Models (LLMs) for mathematical problem solving using a zero-shot multi-path self-consistency technique combined with programmatic solution ...