{"schemaVersion":3,"canonical":"https://cufe-digital-finance-center.vercel.app/records/news/esg-agent-2025","webUrl":"https://cufe-digital-finance-center.vercel.app/news/esg-agent-2025","organization":{"id":"https://cufe-digital-finance-center.vercel.app/#organization","name":"中央财经大学人工智能与数字财经研究中心","nameEn":"CUFE Institute for AI & Digital Finance"},"record":{"id":"https://cufe-digital-finance-center.vercel.app/news/esg-agent-2025#webpage","type":"WebPage","contentType":"news","url":"https://cufe-digital-finance-center.vercel.app/news/esg-agent-2025","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/news/esg-agent-2025","textUrl":"https://cufe-digital-finance-center.vercel.app/text/news/esg-agent-2025","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/news/esg-agent-2025","urlEn":"https://cufe-digital-finance-center.vercel.app/en/news/esg-agent-2025","title":"ESG专业智能体与可持续发展知识服务","titleEn":"ESG specialist agent and sustainability knowledge services","summary":"经济学院可持续准则研究中心与数字财经研究中心联合研发SSRC专家级智能体及龙马ESG大模型知识库。","summaryEn":"A specialist agent and knowledge base jointly developed by the Sustainability Standards Research Center and the Digital Finance Research Center.","body":"## 联合研发\n\n2025年3月7日，中央财经大学经济学院可持续准则研究中心发布SSRC专家级智能体和“龙马ESG”大模型知识库。项目由可持续准则研究中心与数字财经研究中心联合研发，使用DeepSeek基座模型。\n\n## 数据与方法\n\n“龙马ESG”以超过770万字的基础语料构建专业数据集，采用内容增强型知识插槽技术（CEKS）组织知识。检索系统包括意图感知的语义自适应知识库引擎和层次矩阵编码，用于提高检索匹配、文档分类和内容更新效率；系统同时支持API集成。\n\n## 知识范围\n\n知识库覆盖境内外可持续准则、标准和政策法规，收录企业ESG信息披露案例、可持续信息鉴证资料、ESG评级模型及历史评级结果。主要使用场景包括企业可持续信息披露、ESG评级、交易所和资本市场研究。\n\n## 后续计划\n\n经济学院发布信息提出，将继续开发系列功能型SSRC专家级智能体，重点包括意图识别、自动化知识推理、专业问答、数据解读和辅助判断。","bodyEn":"## Joint development\n\nOn 7 March 2025, the Sustainability Standards Research Center at CUFE's School of Economics released the SSRC specialist agent and the Longma ESG large-model knowledge base. The two resources were jointly developed by the Sustainability Standards Research Center and the Digital Finance Research Center using a DeepSeek foundation model.\n\n## Data and methods\n\nLongma ESG is built on a specialist dataset containing more than 7.7 million Chinese characters of source material. It uses Content-Enhanced Knowledge Slots (CEKS) to organise knowledge. Its retrieval system combines an intent-aware semantic engine with hierarchical matrix encoding to support matching, document classification and content updates. The system also supports API integration.\n\n## Knowledge coverage\n\nThe knowledge base covers domestic and international sustainability standards, policies and regulations, corporate ESG disclosure cases, sustainability assurance materials, ESG rating models and historical ratings. Its principal applications include corporate sustainability disclosure, ESG assessment, and research for exchanges and capital markets.\n\n## Planned development\n\nThe School of Economics stated that further functional SSRC specialist agents would address intent recognition, automated knowledge reasoning, professional question-answering, data interpretation and decision support.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2026-09-05","dateModified":"2026-09-06","version":2,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://econ.cufe.edu.cn/info/1220/8411.htm","type":"Article","title":"经济学院可持续准则研究中心发布首个DeepSeek ESG专家级智能体","authors":["王莘茹"],"authorEntities":[{"name":"王莘茹"}],"publisher":"中央财经大学经济学院","datePublished":"2025-03-07","url":"https://econ.cufe.edu.cn/info/1220/8411.htm"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规"}],"regions":[],"sources":[{"title":"中央财经大学经济学院：ESG专家级智能体发布报道","url":"https://econ.cufe.edu.cn/info/1220/8411.htm"}],"citations":{"apa":"王莘茹. (March 7, 2025). 经济学院可持续准则研究中心发布首个DeepSeek ESG专家级智能体. https://econ.cufe.edu.cn/info/1220/8411.htm"},"corrections":[]}}