← 返回论文检索
The ACM Web Conference 2026Short Papers

ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting

Haoxuan Li 0002, He Chang, Yunshan Ma 0002, Yi Bin, Yang Yang 0002, See-Kiong Ng, Tat-Seng Chua

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3774904.3792905 ↗

摘要

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.