Hallucination is fundamental to how transformer-based language models work. In fact, it's their greatest asset.

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We've wondered for centuries whether knowledge is latent and innate or learned and grasped through experience, and a new ...

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Wirecutter Staff No matter how long you’ve used an iPhone, there are always ...

Inspired by the pedagogical method of "proof by counterexamples" widely used in human mathematics education, our work aims to enhance Large Language Models’ (LLMs) ability to conduct mathematical ...

In his decades-long career in tech journalism, Dennis has written about nearly every type of hardware and software. He was a founding editor of Ziff Davis’ Computer Select in the 1990s, senior ...

Recent advancements in multimodal slow-thinking systems have demonstrated remarkable performance across diverse visual reasoning tasks. However, their capabilities in text-rich image reasoning tasks ...

VCE Maths is a challenging subject that requires a strong understanding of concepts, problem-solving skills, and consistent ...

Abstract: The advancement of mathematical reasoning in Large Language Models (LLMs) is fundamentally constrained by the scarcity of highly complex, Olympiad-level training data. To address this ...