Special Session 4

Financial Large Language Models and AI Agent Architectures for Advanced FinTech System Design and Implementation

Driven by the rapid iteration of generative artificial intelligence, financial large language models and autonomous agent architectures have emerged as foundational technological pillars for the next-generation intelligent financial ecosystem. Traditional FinTech systems are increasingly constrained by rigid rule-based mechanisms, limited semantic understanding, and insufficient autonomous decision capability, making it urgent to integrate advanced large-model intelligence and agent-based organizational paradigms into systematic financial infrastructure.
This special session aims to gather cutting-edge theoretical advances, architectural innovations, and engineering practices concerning financial large language models, intelligent agent design, and their systematic implementation in FinTech scenarios. It welcomes high-quality original studies covering model optimization, agent collaborative mechanisms, system architecture reconstruction, trustworthy computation, and industrial deployment. The session strives to provide a high-end academic platform for exploring the paradigm shift from traditional digital financial systems to intelligent, autonomous, and generative FinTech infrastructures.

Session Organizer:

Dr. Jinshui Huang, Southwest Petroleum University, China

The topics of interest include, but are not limited to:

• Domain Adaptation and Financial Knowledge Alignment Mechanisms of Financial Large Language Models
• Design and Paradigm Innovation of Autonomous Agent Architectures for Financial Scenarios
• LLM-Driven Modeling, Architectural Design and Engineering Implementation of Intelligent Financial Systems
• Multi-Financial-Agent Collaborative Mechanisms and Optimization of Distributed FinTech Systems
• Hallucination Mitigation, Trustworthy Computing and System Stability Optimization of Financial LLMs
• Lightweight Fine-Tuning Schemes for Financial LLMs and Low-Resource FinTech System Deployment
• Agent Autonomous Decision-Making Frameworks and Construction of Financial Business Automation Systems
• LLM-Agent Integrated Architectures for Quantitative Analysis and Asset Pricing System Development
• Privacy Security, Risk Control Mechanisms and Architectural Robustness of Intelligent Financial Systems
• Iterative Design, Scenario Implementation and Efficiency Evaluation of Generative FinTech Intelligent Systems

Submission Method:

Submit your Full Paper (no less than 4 pages with two colums) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Special Session 4 (Financial Large Language Models and AI Agent Architectures for Advanced FinTech System Design and Implementation)
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Introduction of Session Organizer

Dr. Jinshui Huang
Southwest Petroleum University, China

Jinshui Huang, Ph.D. in Management, Lecturer and Master’s Supervisor at Southwest Petroleum University, Member of the Association for Information Systems (AIS). His main research interests include Financial Intelligence, Financial Large Models and AI Agent. In recent years, he has published nearly 10 papers as the first author in SCI journals and international academic conferences. He presides over 1 project of Fundamental Research Funds for the Central Universities, and serves as a key participant for 2 General Program projects of the National Natural Science Foundation of China. He has deeply participated in national and provincial‑ministerial‑level research projects including the Key R&D Program of the Ministry of Science and Technology of China, ad‑hoc commissioned projects of UNESCO, and special research projects of the People’s Bank of China. He has served as Session Chair for international academic conferences including ICEME 2026, ICDLT 2026 and BDAI 2026. He is a member of the Technical Program Committee for artificial intelligence conferences such as ICAIBD, ICBIM, CCAI, ICBDB, ICMLT and ICHMI. Additionally, he works as an anonymous reviewer for top‑tier international management conferences (ICIS, HICSS, PACIS, AMCIS) and multiple SCI/SSCI journals.