Your Location：
Home >
Browse articles >
MENTOR: a multi-agent framework for event and narrative trend prediction with optimized reasoning
Special Feature on Theories and Applications of Financial Large Models | Updated：2025-11-18

    • MENTOR: a multi-agent framework for event and narrative trend prediction with optimized reasoning

      Enhanced Publication
    • MENTOR：一种基于优化推理的事件与叙事趋势预测多智能体框架
    • “In the realm of narrative economics, a new multi-agent framework called MENTOR has been developed to predict event and narrative trends, offering a more reliable approach to forecasting financial market outcomes. Expert researchers have integrated teacher-student iterative reasoning with progressive subtasks, outperforming recent baselines in event prediction and industry ranking tasks, and demonstrating practical improvements in investment performance.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 10, Pages: 1847-1861(2025)

    • DOI：10.1631/FITEE.2500608    

      CLC： TP18;F830.9

    • Received：30 August 2025，

      Revised：2025-10-13，

      Published：2025-10

    Scan QR Code

  • Liyuan CHEN, Gaoguo JIA, Dongsheng GU, et al. MENTOR: a multi-agent framework for event and narrative trend prediction with optimized reasoning[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1847-1861. DOI： 10.1631/FITEE.2500608.

  •  
  •  

0

Views

51

Downloads

0

CSCD

PlumX

>
Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Dynamic grouping of heterogeneous agents for exploration and strike missions
A multi-agent architecture for scheduling in platform-based smart manufacturing systems
Designing a novel consensus protocol for multiagent systems with general dynamics under directed networks

Related Author

Chen CHEN
Xiaochen WU
Jie CHEN
Shuxin DING
Panos M. PARDALOS
Yong-kui LIU
Xue-song ZHANG
Lin ZHANG

Related Institution

School of Automation, Beijing Institute of Technology
Department of Control Science and Engineering, Tongji University
Center for Applied Optimization, Department of Industrial and Systems Engineering, University of Florida
Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited
Center for Intelligent Manufacturing Systems and Robots, School of Mechano-Electronic Engineering, Xidian University
0