华南理工大学许言午教授则从跨行业经验出发，为金融AI的发展提供了另一种参照。他表示，很多人 直觉上觉得AI在金融领域"存在感不强"，其实并不准确。AI早已深度参与保险定价、资产评估和量化交 易，只是这些价值并不直接呈现在ToC产品中，因此"看不见"。 本报讯 2月5日，围绕"信贷多模态AI如何定标准"，奇富科技举办了一场聚焦产业与学术前沿的直播讨 论。直播中，奇富科技联合复旦大学、华南理工大学研究人员近期发布的首个面向信贷场景的多模态评 测基准FCMBench-V1.0成为核心议题。 复旦大学陈涛教授认为，好的数据集本身就是对"好问题"的定义。重要的是，金融AI不能停留在通用模 型的预训练与微调阶段，而应构建内生的金融思维链，让模型天然理解利率、规则与风险，实现安全可 信的推理能力。这也是学界与产业必须协同解决的问题。 （文章来源：证券日报） 在这场对话中，来自产业一线与学术前沿的三位嘉宾，从不同视角指向了同一个问题：如果没有统一标 准，金融AI很难真正落地。 作为奇富科技多模态负责人，杨叶辉首先从产业实践谈起。他用"锄头与土地"做比喻，形象阐释了AI与 应用场景之间的关系：AI是工具，而金融、医疗这样的高门 ...

Core Insights - The Beijing Financial Technology Industry Alliance announced the results of the "Top Five Group Standards" for 2025, recognizing the contributions of Qifu Technology in the standardization of financial large models [1][5] - Qifu Technology's participation in the development of two important group standards, namely "Technical Requirements for Financial Applications of Large Language Models" and "Evaluation Specifications for Financial Applications of Large Language Models," has been acknowledged as a significant achievement [1][3] Group 1: Standardization Efforts - Qifu Technology, as a core participating unit, has leveraged nine years of experience in financial technology to provide essential support across dimensions such as technology implementation, risk control, and business adaptation [3] - The standards were led by Industrial and Commercial Bank of China and involved collaboration with major industry players like China Mobile, Huawei, Tencent, and Alibaba, addressing the lack of unified norms in the application of large models in the financial sector [3][4] - The standards define core requirements including application framework, task capabilities, and security trustworthiness, establishing a comprehensive evaluation system for financial institutions' model construction, assessment, and risk management [3][4] Group 2: Company Initiatives - Qifu Technology is one of the early entrants in the financial large model sector, consistently advancing both "technology research" and "standard development" in tandem [4] - In 2023, the company formed a specialized large model team and collaborated with the China Academy of Information and Communications Technology to compile the first financial industry large model standard [4] - The company aims to launch a super intelligent agent in 2025 that enhances core lending operations by integrating modules for credit decision-making, credit assessment, and compliance assistance, thereby providing a practical example of standardized technology implementation [4][5] Group 3: Future Directions - The recognition as one of the "Top Five Group Standards" is seen as a positive affirmation of Qifu Technology's efforts in promoting industry standardization [5] - The company plans to continue collaborating with academic and research partners to deepen technological research and practical transformation, actively participating in the construction of industry standard ecosystems [5]

Core Insights - Qifu Technology, in collaboration with Fudan University and South China University of Technology, has launched the first multimodal evaluation benchmark for credit scenarios, named FCMBench-V1.0, aimed at enhancing AI applications in credit assessment [1][2] - The benchmark is designed to address real credit business scenarios, focusing on multi-modal evaluation tasks that reflect practical business needs, thereby promoting academic research and application in credit AI [1] - Unlike traditional evaluations that focus on single recognition or understanding capabilities, this benchmark assesses model capabilities relevant to key processes in micro-enterprise credit granting, such as multi-document recognition and risk clue discovery [1] Summary by Sections - **Benchmark Development**: The FCMBench-V1.0 provides a standardized evaluation platform to foster collaboration between academia and industry, enabling fair comparisons of AI model capabilities in the credit field [1] - **Data and Framework**: The benchmark includes a highly consistent evaluation framework with 18 core credit document types, comprising 4,043 compliant images and 8,446 test samples, covering the entire credit review process [2] - **Industry Impact**: This initiative aims to break down data and knowledge barriers within the industry, facilitating a shift from "single-point optimization" to "collaborative innovation" between academia and financial technology companies [1]

Group 1 - The core viewpoint of the news is the recognition of Qifu Technology as one of the top 100 private service enterprises in the Yangtze River Delta for 2025, highlighting its contributions to the artificial intelligence sector and the real economy [1] Group 2 - Qifu Technology has significantly enhanced risk identification accuracy, operational efficiency, and user experience by integrating AI capabilities into the financial service chain, effectively connecting financial institutions with small and micro market entities and individual consumers [3] - As of the end of the third quarter this year, Qifu Technology has established partnerships with 167 financial institutions, providing stable and efficient digital credit support to over 62 million credit users, thereby supporting the operational development of small and micro enterprises and meeting individual consumption needs [3] - Looking ahead, Qifu Technology aims to deepen technological innovation and cultivate new productive forces centered around AI, with a commitment to improving development quality and creating new advantages for future growth [3]

Core Insights - The 2025 Black and Gray Industry Detection Skills Competition concluded successfully, showcasing the practical capabilities in cybersecurity, with over 200 top teams participating nationwide [1] - Qifu Technology won the "Team Gold Award" in the Thunder Group of the Black and Gray Industry Technology Countermeasure Track, highlighting its strong capabilities in financial fraud prevention technology [1] - Qifu Technology's expert, Wu Yechao, received the "Outstanding Coach Award," further emphasizing the company's expertise in the field [1] Company Achievements - Qifu Technology has established a comprehensive defense system centered around the "Shanhai" anti-fraud system, integrating "domain name resolution + content features + AI risk analysis" for multi-dimensional assessment [1] - The company's model processes an average of 600,000 high-risk clues daily, has issued over 1.22 million warnings for malicious websites, and has blocked over 7,400 counterfeit websites/apps, preventing fraudulent transactions worth 287 million yuan [1][2] - The model achieves over 95% accuracy in identifying fraudulent websites, addressing industry challenges such as "zero-sample" fraud detection and incomplete risk tracing [1] Future Directions - Qifu Technology aims to deepen the application of AI large models in fraud prevention, sharing technical experiences and promoting the establishment of industry standards for fraud prevention technology [3] - The company is committed to enhancing risk control levels across the industry and contributing to the fight against financial black and gray industries, thereby maintaining social security and stability [3]

Core Viewpoint - The event highlighted the importance of corporate social responsibility (CSR) in sustainable development and recognized companies that excel in this area [1] Group 1: Event Overview - The "Technology Empowerment · Capital Breakthrough" sharing session was held online by Gelonghui [1] - The annual list of outstanding companies was announced during the event [1] Group 2: Award Recognition - Qifu Technology-S (3660.HK) received the "Annual Social Responsibility Award" in the Gelonghui "Golden Award" annual selection [1] - The award acknowledges the company's long-term commitment to fulfilling social responsibilities and recognizes its management quality and personnel competence [1] - A strong sense of social responsibility is deemed essential for a company's sustainable development and competitiveness [1]

Group 1 - The core viewpoint of the article highlights that Qifu Technology has been awarded the "Social Responsibility Award" for its solid practices in social responsibility and sustainable development, reflecting the capital market's recognition of its commitment to "technology for good" [1][10] - Qifu Technology systematically applies its core financial technology capabilities to address social issues such as inclusive finance, consumer protection, and rural revitalization, thereby building strong commercial competitiveness [3][4] - The company has established partnerships with 167 financial institutions, providing stable and efficient digital credit support to over 62 million credit users, significantly aiding small and micro enterprises [4][5] Group 2 - In 2024, Qifu Technology assisted financial institutions in providing loans of 100.37 billion yuan to small and micro enterprises, accounting for 31.2% of the company's overall business scale [4] - The company also supported the rural revitalization strategy by facilitating 12.44 billion yuan in loans to the agricultural sector, benefiting 3.98 million farmers [4] - Qifu Technology integrates green concepts into its daily operations, optimizing technology to reduce energy consumption and actively participating in various public welfare projects [8][7] Group 3 - The company has established a comprehensive responsibility system, enhancing its ESG governance structure and focusing on user protection, green operations, and community building [6][7] - Qifu Technology's commitment to social responsibility is seen as a strategic investment that enhances corporate resilience, shapes brand reputation, attracts talent, and ultimately drives long-term value growth [8][10] - The recognition from the "Golden Award" signifies that companies capable of aligning their growth with social progress are more likely to gain long-term capital favor in the current business environment [10]

Core Viewpoint - The Nasdaq China Golden Dragon Index increased by 0.2%, with most popular Chinese concept stocks rising, indicating a positive market sentiment towards these companies [1]. Group 1: Stock Performance - Qihoo 360 Technology saw a rise of 3.24% [1] - Trip.com Group increased by 2.23% [1] - Companies such as Zai Lab, Pinduoduo, and Beike all rose by over 1.5% [1] - NetEase, JD.com, and Bilibili experienced gains of less than 1% [1]

Core Viewpoint - The "Golden Award" annual excellence company selection by Gelonghui recognizes companies for their social responsibility and management quality, highlighting the importance of corporate social responsibility for sustainable development [1][2]. Group 1: Award Winners - Ten companies received the "Annual Social Responsibility Award," including: - Damai Entertainment (01060.HK) - Urban Beauty (02298.HK) - Greentown Management Holdings (09979.HK) - Qifu Technology-S (03660.HK) - Qingniao Fire Protection (002960.SZ) - Tencent Holdings (00700.HK) - Xiaocai Garden (00999.HK) - iFlytek Medical Technology (02506.HK) - Yuehai Investment (00270.HK) - ZhongAn Online (06060.HK) The ranking is in alphabetical order and does not indicate priority [1]. Group 2: Evaluation Process - The selection process for the awards involved quantitative data analysis and an expert review panel to determine the final results [1]. - The aim of the "Golden Award" is to create a valuable reference for investors regarding listed companies and unicorns across various stock exchanges, including the Hong Kong Stock Exchange, Shanghai Stock Exchange, Shenzhen Stock Exchange, New York Stock Exchange, and NASDAQ [2].

Core Viewpoint - QFIN, a leading credit technology platform in China, aims to enhance credit services for consumers and small businesses through innovative technology solutions, thereby improving access to credit and risk management for financial institutions [1][2][3]. Financial Performance - As of September 30, 2025, QFIN reported total revenue of 15.112 billion RMB, representing a year-on-year growth of 19.15% - The net profit attributable to shareholders was 4.97 billion RMB, showing a year-on-year increase of 14.32% [1]. Company Overview - QFIN operates as a credit technology platform that connects financial institutions with consumers and small businesses, facilitating easier access to personalized credit services [1]. - The company collaborates with 133 financial institutions, including state-owned and regional banks, as well as consumer finance companies, to enhance credit assessment and risk management [1]. Target Market - The company focuses on consumers who are underserved by traditional financial institutions, particularly those with short credit histories and high growth potential [2]. - QFIN also targets small and micro enterprises that lack sufficient credit history or collateral, providing tailored loan products to meet their needs [3]. Service Offerings - QFIN provides two main types of services: credit-driven services and platform services, each designed to enhance the lending process and improve credit assessment [3][4]. - Credit-driven services involve matching potential borrowers with financial institutions, where QFIN assumes some credit risk [3]. - Platform services offer customized technology solutions throughout the loan lifecycle, including borrower acquisition and credit assessment, without assuming credit risk [4][5]. Technology Utilization - The company employs advanced technology and credit analysis capabilities to identify low-risk borrowers, thereby expanding the borrower base for financial institutions [2]. - QFIN's "Intelligent Credit Engine" (ICE) provides smart marketing services to financial institutions, enhancing borrower matching and initial credit screening [5].