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Autonomous agents can recursively self-improve LLM-generated games, achieving superhuman performance and drastically cutting generation costs by internalizing development experience.
Adaptive interleaved reasoning boosts MLLMs' numerical computation accuracy by nearly 10 percentage points, revolutionizing their tool-use capabilities.