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Live self-improvement can boost agent performance by over 14 percentage points while reducing output token usage by nearly 43%.
Closing 97% of the performance gap between student and teacher models while cutting rollout steps by nearly three times reveals the power of adaptive domain scheduling in multi-teacher distillation.