SiriuS introduces a novel framework for self-improving multi-agent systems that replaces brittle manual prompts with data-driven optimization.

• Creates specialized training data through expert agents and reasoning
• Leverages a bootstrapping approach that iteratively improves agent performance
• Demonstrates significant gains in biomedical question answering and other complex tasks
• Reduces reliance on manual prompt engineering for multi-agent systems

For medical applications, SiriuS enables more reliable and accurate AI systems that can better understand complex biomedical information, potentially improving clinical decision support and medical research assistance.

SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning