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Optimal $O(\sqrt{d})$ regret in online inverse linear optimization is now achievable in polynomial time, shattering previous computational barriers.
Gemma 4's unified architecture and reasoning mode enable it to outperform larger models in human-rated tasks while maintaining high efficiency.
