CompEvo: Competition-Induced Evolution for Multi-Agent in News-Driven Time Series Forecasting
News-driven time series forecasting uses evolving textual events together with historical observations to predict future values, supporting applications such as market risk monitoring and resource scheduling. In multi-agent settings, two challenges still remain. The first is degeneration of thought, where agents conver...