Financial decision-making presents unique challenges for language models, demanding temporal reasoning, adaptive risk assessment, and responsiveness to dynamic events. While large language models (LLMs) show strong general reasoning capabilities, they often fail to capture behavioral patterns central to human financial decisions-such as expert reliance under information asymmetry, loss-averse sensitivity, and feedback-driven temporal adjustment. We propose FinHEAR, a multi-agent framework for Human Expertise and Adaptive Risk-aware reasoning. FinHEAR orchestrates specialized LLM-based agents to analyze historical trends, interpret current events, and retrieve expert-informed precedents within an event-centric pipeline. Grounded in behavioral economics, it incorporates expert-guided retrieval, confidence-adjusted position sizing, and outcome-based refinement to enhance interpretability and robustness. Empirical results on curated financial datasets show that FinHEAR consistently outperforms strong baselines across trend prediction and trading tasks, achieving higher accuracy and better risk-adjusted returns.
AI Adoption to Combat Financial Crime: Study on Natural Language Processing in Adverse Media Screening of Financial Services in English and Bangla multilingual interpretation
Institute of Business Administration - JU（贾达沃普尔大学商业管理学院）
FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios
School of Data Science, Fudan University, China（复旦大学数据科学学院）；School of Software Engineering, Huazhong University of Science and Technology, China（华中科技大学软件工程学院）；Shanghai University of Finance and Economics, China（上海财经大学）；Shanghai Innovation Institute, China（上海创新研究院）；Research Institute of Intelligent Complex Systems, Fudan University, China（复旦大学智能复杂系统研究院）
One Analyst Is Not Ground Truth: Grading Agent-Built Financial Models Against Observed Professional Practice
Shanghai Jiao Tong University（上海交通大学）；University of Adelaide（阿德莱德大学）；Tsinghua University（清华大学）；National University of Singapore（新加坡国立大学）；Peking University（北京大学）
TradingMoE: Routing the Right Experts in Evolving Markets
University of Science and Technology of China（中国科学技术大学）；The Chinese University of Hong Kong（香港中文大学）；The University of Tokyo（东京大学）；Singapore Management University（新加坡管理大学）
