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Cross-language feature sharing in multilingual LLMs is model-specific and does not always translate to functional equivalence, challenging assumptions about multilingual reasoning.
Static low-bit gradient communication can destabilize training, but NEURON-Fabric ensures accuracy is preserved while slashing communication costs.
