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Longma Shujuan specialist agents and financial applications

龙马书卷专业智能体与财经应用

Original author: 陈波 · 中央财经大学新闻网
Original publication:

Work by the Digital Finance Research Center on specialist large-model agents for financial applications, maritime carbon compliance and public-interest education.

Cite the original source

陈波. (March 4, 2025). 财经研究院发布“龙马书卷”专家级大模型(LLM)智能体. https://news.cufe.edu.cn/info/1003/60789.htm

Release

On 4 March 2025, CUFE News reported on the release of the Longma Shujuan specialist large-model agents. The work was undertaken by the Digital Finance Research Center at CUFE's Institute of Finance and Economics and led by a research team headed by Bo Chen.

Technology and knowledge organisation

Longma Shujuan uses Content-Enhanced Knowledge Slots (CEKS) and domain-specific large-model datasets to organise knowledge for retrieval, analysis and question-answering in specialist fields. The university report also described technical work on knowledge structure, information density and retrieval accuracy.

Applications

The applications identified in the report span stock exchanges, customs and shipping. They include carbon border measures, emissions trading systems, data assets, carbon finance, ESG and financial risk control. A related smart carbon-compliance system for shipping, supported by high-precision continuous monitoring, received proof-of-concept funding from the Shahe Higher Education Park.

Education and interdisciplinary work

The Finance Professionals Learn AI public-interest platform was introduced alongside the specialist agents, providing learning materials and tools for finance students and practitioners. The Center has also pursued an “expert agent plus X” approach to interdisciplinary applications.