ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting
Abstract
Event forecasting is inherently influenced by multifaceted considerations, including international relations, regional historical dynamics, and cultural contexts. However, existing LLM-based approaches employ single-model architectures that generate predictions along a singular explicit trajectory, constraining their ability to capture diverse geopolitical nuances across complex regional contexts. To address this limitation, we introduce ThinkTank-ME, a novel Think Tank framework for Middle East event forecasting that emulates collaborative expert analysis in real-world strategic decision-making. To facilitate expert specialization and rigorous evaluation, we construct POLECAT-FOR-ME, a Middle East–focused event forecasting benchmark. Experimental results demonstrate the superiority of multi-expert collaboration in handling complex temporal geopolitical forecasting tasks. The code is available at https://github.com/LuminosityX/ThinkTank-ME.
Fields of Study & Subjects
Forecasting Techniques and Applications
Computational and Text Analysis Methods
Big Data and Business Intelligence
Publication details
- Journal / source
- Proceedings of the ACM Web Conference 2026
- Publisher
- ACM
- Pages
- 8541–8544
- Publication date
- 9 April 2026