Code2Math: Can Your Code Agent Evolve Math Problems Through Exploration?
Researchers tested if code agents can autonomously improve math problems by evolving existing ones into more complex versions. They created a multi-agent system where an Evolution Agent designs harder problems, and verification agents check if the new problems are solvable and genuinely more difficult. Findings show code exploration discovers hidden insights, allowing models to generate challenges beyond their current abilities.