arxivcs.AI2026-07-02
Diverse Evidence, Better Forecasts: Multi-Agent Deliberation Under Information Asymmetry
Yuante Li, Yicheng Tao, Kate Zhang, Taozhi Wang, Gefei Gu, Yaxin Zhou
Multi-agent systems are increasingly used for forecasting future events, as deliberation among multiple LLMs is believed to improve reasoning and calibration. Yet existing approaches overlook a critical design choice: what information each agent receives. When all agents are give…