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

Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang +2 more
1/22/2026
cs.LGcs.AIcs.CL

Official code: LuminosityX/ThinkTank-ME (2 stars, GPL-3.0, last commit 2025-11-18).

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.

View on arXivView PDF

Code Implementations(1)

GPL-3.0

This repository contains the code, dataset construction pipeline, and more experiment results for the paper titled "ThinkTank-ME: A Multi-Expert Framework for MidEast Event Forecasting".

21Shell, PythonJun 5, 202511 months agoGPL-3.0

Similar Papers

Cite this paper

@article{li2026thinktankme,
  title  = {ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting},
  author = {Haoxuan Li and He Chang and Yunshan Ma and Yi Bin and Yang Yang and See-Kiong Ng and Tat-Seng Chua},
  year   = {2026},
  eprint = {2601.17065},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2601.17065v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2601.17065.svg)](https://codeofpaper.com/paper/2601.17065)

Discussion