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CausalMix reveals that dynamic data mixture optimization can significantly enhance LLM performance, adapting seamlessly to changing data distributions without the need for costly retraining.
Ling-2.6 and Ring-2.6 achieve unprecedented efficiency in agentic intelligence, enabling instant responses and deep reasoning at trillion-parameter scale.
Multi-format training can drastically enhance language model consistency across different answer formats, with just 30% of training data needing augmentation to achieve significant gains.
