Self-evolution improves individual agents to provide high-quality contextual information.
Self-evolution encourages the exploration of diverse knowledge.
The self-evolutionary algorithm is applied to each component of the workflow.
Self-evolution mitigates information loss for each unit agent throughout long trajectories.
The component-wise optimization enhances the quality of each step in the research workflow.
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