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The evolution of Mixture-of-Experts architectures reveals a critical shift towards decoupling semantic routing from computational budgets, reshaping our understanding of model efficiency.
Achieve more human-like and consistent user simulation in Chinese across multiple domains by iteratively refining user profiles with real dialogue data and aligning behavior with a rubric-guided reward model.
