Complex reasoning ability is one of the most important features of current LLMs, which has
also been leveraged to play an integral role in complex decision-making tasks. Therefore …

Causal reasoning and logical reasoning are two important types of reasoning abilities for
human intelligence. However, their relationship has not been extensively explored under …

In this paper, we approach competitive-level programming problem-solving as a composite
task of reasoning and code generation. We propose a novel method to automatically …

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 …

Achieving human-level intelligence requires refining cognitive distinctions between System
1 and System 2 thinking. While contemporary AI, driven by large language models …

The efficacy of neural networks is widely recognized across a multitude of machine learning
tasks, yet their black-box nature impedes the understanding of their decision-making …

Distilling explicit chain-of-thought reasoning paths has emerged as an effective method for
improving the reasoning abilities of large language models (LLMs) across various tasks …

In the current era, recommendation systems has become increasingly integral to our daily
lives. Despite the significant advancements in recommendation systems, many models still …

The explosively increasing online content, such as exposure on e-commerce platforms (eg,
Amazon and Taobao), makes it very difficult for users to choose suitable items or information …