Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …

The past five years have seen a dramatic increase in the usage of artificial intelligence (AI)
algorithms in pure mathematics and theoretical sciences. This might appear counter-intuitive …

Understanding knowledge mechanisms in Large Language Models (LLMs) is crucial for
advancing towards trustworthy AGI. This paper reviews knowledge mechanism analysis …

As artificial intelligence (AI) continues to advance, it demonstrates capabilities comparable
to human intelligence, with significant potential to transform education and workforce …

Current LLM training positions mathematical reasoning as a core capability. With publicly
available sources fully tapped, there is unmet demand for diverse and challenging math …

In this perspective paper, we introduce the concept of Specialized Generalist Artificial
Intelligence (SGAI or simply SGI) as a crucial milestone toward Artificial General Intelligence …

Traditional base station siting (BSS) methods rely heavily on drive testing and user
feedback, which are laborious and require extensive expertise in communication …

Abstract Large Language Models (LLMs) have revolutionized the landscape of natural
language processing, demonstrating remarkable abilities across various complex tasks …

In this article, we investigate vision-language models (VLM) as reasoners. The ability to form
abstractions underlies mathematical reasoning, problem-solving, and other Math AI tasks …

Teaching to improve student models (eg, knowledge distillation) is an extensively studied
methodology in LLMs. However, for humans, teaching improves not only students but also …