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Learned routers can outperform fixed-model baselines by 14.6%, revealing a new frontier in efficient LLM deployment.
Self-evolving rubric rewards can dramatically enhance audio reasoning in models, outperforming traditional methods by adapting to the model's evolving capabilities.
