Qingjian Ni

Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models

Large Language Models (LLMs) have demonstrated strong capabilities across diverse tasks under the example-driven learning paradigm. However, in high-stakes domains such as emergency response and industrial safety, historical incidents are scarce, confidential, or both, while concise rule books are a