Abstract:

Addressing the limitations of traditional methods in terms of efficiency, accuracy, and professionalism, Large Language Models (LLMs) facilitate an intelligent transformation through capabilities in natural language processing, data analysis, and decision support. This paper analyzes the role of LLMs in automating workflows, enhancing risk identification, supporting scientific decision-making, and structuring expert knowledge. It confirms their effectiveness in improving evaluation efficiency, optimizing resource allocation, and mitigating risks. Meanwhile, challenges such as data security, model interpretability, and ethical governance remain. The paper concludes that LLMs will significantly advance the intelligent and standardized development of government investment evaluation, supporting the broader goals of smart governance.

Key words: large language models, government investment evaluation, digital government, technology enablement