通信与信息技术Issue(2)：130-135,6.
Gov_GLM:基于ChatGLM的政务助手系统
Gov_GLM:ChatGLM-based government assistant system
蒙醒 1陈亮 1王珺琳2
作者信息
- 1. 沈阳理工大学自动化与电气工程学院,辽宁 沈阳 110159
- 2. 沈阳理工大学信息科学与工程学院,辽宁 沈阳 110159
- 折叠
摘要
Abstract
Generative large language models have made remarkable progress in the field of artificial intelligence in recent years.Be-cause of its powerful ability in natural language processing and text analysis,it has been widely used in many fields,including government affairs.However,in the government service work,it is difficult for users to interpret the national policy because of the complex logic knowledge and interpretation problems.To solve these problems,the Lora method is used to reparameterize and fine-tune ChatGLM mod-el to enhance the model's government knowledge processing ability,and the corresponding Prompt is constructed to optimize the model's question answering intention understanding ability.Experimental research shows that the proposed question-answering system outper-forms baseline models in both accuracy and completeness.By verifying on the self-made government service question and answer dia-logue dataset,Gov_GLM achieves 75.2%BLEU score,The model not only improves accuracy but also significantly reduces the complexi-ty of system responses,thereby facilitating users'comprehension of government-related information.关键词
ChatGLM/政务问答/Lora方法/Prompt/BLEUKey words
ChatGLM/Government questions and answers/Lora method/Prompt/BLEU分类
信息技术与安全科学引用本文复制引用
蒙醒,陈亮,王珺琳..Gov_GLM:基于ChatGLM的政务助手系统[J].通信与信息技术,2025,(2):130-135,6.
