In recent years, there has been remarkable progress in leveraging Language Models (LMs),
encompassing Pre-trained Language Models (PLMs) and Large-scale Language Models …

Mathematical reasoning serves as a cornerstone for assessing the fundamental cognitive
capabilities of human intelligence. In recent times, there has been a notable surge in the …

Large language models (LLMs) have achieved impressive advancements across numerous
disciplines, yet the critical issue of knowledge conflicts, a major source of hallucinations, has …

Exceptional mathematical reasoning ability is one of the key features that demonstrate the
power of large language models (LLMs). How to comprehensively define and evaluate the …

Large language models (LLMs) have significantly transformed the educational landscape.
As current plagiarism detection tools struggle to keep pace with LLMs' rapid advancements …

Automated mathematical problem-solving represents a unique intersection of natural
language processing (NLP) and mathematical reasoning, posing significant challenges in …

Causal reasoning is viewed as crucial for achieving human-level machine intelligence.
Recent advances in language models have expanded the horizons of artificial intelligence …

As large language models (LLMs) permeate more and more applications, an assessment of
their associated security risks becomes increasingly necessary. The potential for exploitation …

Current large language models (LLM) provide a strong foundation for large-scale user-
oriented natural language tasks. Many users can easily inject adversarial text or instructions …

Large Language Models (LLMs) are thought to struggle with arithmetic learning due to the
inherent differences between language modeling and numerical computation, but concrete …